Regression for Machine Learning: Types, Application and Challenges

Access premium articles, webinars, resources to make the best decisions for career, course, exams, scholarships, study abroad and much more with

Plan, Prepare & Make the Best Career Choices

# Regression for Machine Learning: Types, Application and Challenges

Edited By Team Careers360 | Updated on Feb 07, 2024 12:41 PM IST | #Machine Learning

Regression analysis is a fundamental statistical technique used in various fields to understand and quantify the relationship between a dependent variable and one or more independent variables. Regression for machine learning allows us to model and predict outcomes based on available data.

In this article, we will analyse and explore deep into regression analysis, linear regression in machine learning, types of regression in machine learning, applications, and the methodology behind it. Therefore, this exploration of regression analysis will provide you with valuable insights into this essential machine learning concept. But before digging deeper into this article, take a look at the various Machine Learning Certification Courses to excel in your learning beforehand.

## What is Regression Analysis?

Regression analysis is a versatile statistical method used to model the relationship between a dependent variable and one or more independent variables. It is essentially a tool for understanding how changes in the independent variables affect the dependent variable.

At its core, regression seeks to identify and quantify patterns, interdependence, and trends within data. By examining the relationships between variables, regression allows us to make predictions, draw inferences, and gain a deeper understanding of complex real-world phenomena.

## Why is Regression Analysis Important?

The importance of regression analysis cannot be overstated. It underpins a wide range of applications in fields such as economics, finance, science, and social sciences. Regression for machine learning is the backbone of statistical modelling, enabling us to make informed decisions based on historical data.

Whether you are an economist predicting economic trends, a doctor evaluating the factors affecting a patient's health, or a marketer optimising advertising strategies, regression analysis plays a crucial role in extracting meaningful insights from data. A simple would include estimating the house prices based on size and geography. This data can help the housing company in pricing their units better, so that they arrive at a win-win situation with a home buyer.

1. ## Types of Regression Analysis

Regression analysis offers a multifaceted approach to understanding the complex relationships between variables in the pursuit of statistics and data analysis. While the fundamental concept of regression remains constant, it manifests in various forms, each tailored to address specific data structures and modelling requirements. In this section, we will explore the diverse universe of regression analysis, exploring the regression types in machine learning and the different scenarios they are best suited for.

1. ### Simple Linear Regression

Simple Linear Regression in machine learning is the starting point for understanding regression. In this method, we examine the relationship between two variables - one independent and one dependent - by trying to fit a straight line through the data points. It is a fundamental technique that serves as the foundation for more complex regression models. Example - Predicting commodity prices based on rainfall.

1. ### Multiple Linear Regression

Multiple Linear Regression takes regression a step further by incorporating multiple independent variables. It is particularly useful when you need to account for the influence of several factors on the dependent variable. This method is the workhorse of data analysis in various domains. Example - predicting car sales based on size, cost and engine capacity.

1. ### Polynomial Regression

When relationships in the data are not linear but instead follow curves or bends, Polynomial Regression comes into play. It enables us to model and analyse non-linear relationships with greater accuracy by fitting polynomial functions to the data.

1. ### Logistic Regression

Logistic Regression, unlike linear regression, is used for binary outcomes(Yes or No , True or False) or classifications. It is a vital tool in areas such as medical diagnosis, fraud detection, and churn prediction, allowing us to predict the likelihood of an event occurring based on input variables. Example - classifying an sms spam vs non-spam

1. ### Ridge Regression

Ridge Regression is a regularisation technique used to address multicollinearity, where independent variables are highly correlated. By adding a penalty term to the regression model, Ridge Regression helps stabilise the parameter estimates and prevent overfitting. Many times the data could be of the same trend, but unrelated.

An example can be the correlation between the rising number of Dengue cases and a countryâ€™s GDP. Both can show the same rising trend at the same time. However, they have very little association. In these cases Ridge Regression comes in very handy to resolve statistical interdependence.

1. ### Lasso Regression

Lasso Regression is another regularisation method, known for its feature selection capabilities. It not only prevents overfitting but also automatically selects the most relevant independent variables, promoting model simplicity and interpretability.

1. ### Elastic Net Regression

Elastic Net Regression is a hybrid model that combines the characteristics of Ridge and Lasso Regression. It provides a balanced approach to regularisation, addressing multicollinearity while selecting the dominant features.

1. ### Time Series Regression

In time series analysis, data points are collected at regular intervals over time. Time Series Regression helps model and predict time-dependent data, making it indispensable in fields such as finance, climate science, and demand forecasting.

Machine learning is a fascinating field that allows us to leverage data to make predictions, identify patterns, and gain insights. One of the fundamental techniques in machine learning is linear regression. Linear regression is a simple yet powerful algorithm used for modelling the relationship between a dependent variable and one or more independent variables. In this blog, we will explore the basics of linear regression, its types, and real-world applications.

## 3. Linear Regression: The Basics

Linear regression in machine learning is a supervised learning algorithm that is primarily used for predictive analysis. It works on the premise that there is a linear relationship between the dependent variable (target) and one or more independent variables (features). This relationship can be expressed as a straight-line equation:

Y= Î²0 +Î²1X+Ïµ

Here,

Y represents the dependent variable (the target you want to predict).

X represents the independent variable (the feature used for prediction).

Î²0 is the intercept, representing the value of Y when X is zero.

Î²1 is the slope, representing the change in Y for a unit change in X.

Ïµ represents the error term, accounting for the variability not explained by the model.

(Add a diagram here to understand the equation )
The goal of linear regression is to find the best-fitting line by determining the values of Î²0 and (\beta_1) that minimise the sum of squared errors (residuals) between the observed and predicted values.

## 4. Types of Linear Regression

Linear regression can take various forms depending on the number of independent variables and the nature of the relationship between the variables. Here are some common types of linear regression for machine learning:

Simple Linear Regression: In simple linear regression in machine learning, there is only one independent variable. The relationship between the independent and dependent variables is represented by trying to fit a straight line through the data. This is a basic form of linear regression and is used when you want to predict a single outcome based on a single input variable.

Multiple Linear Regression: Multiple linear regression in machine learning, extends the concept to multiple independent variables. The relationship is expressed as a plane or hyperplane in higher dimensions. This is used when there are multiple factors influencing the dependent variable.

Polynomial Regression: Polynomial regression in machine learning is used when the relationship between the variables is not strictly linear. It allows for higher-degree polynomials to fit the data better. For instance, a quadratic equation can be used to model a U-shaped relationship.

Ridge Regression and Lasso Regression: These are forms of linear regression in machine learning that include regularisation techniques. Ridge regression and Lasso regression are used to prevent overfitting and handle multicollinearity in multiple linear regression. If a model shows high accuracy for training data, but not for new data , it is likely a case of overfitting. Ridge and Lasso regression prevent this by regularisation.

Logistic Regression: While the name suggests regression, logistic regression is actually used for classification problems. It models the probability of a binary outcome and is particularly useful in predicting yes/no or true/false outcomes.

## 5. Applications of Regression Analysis

Regression analysis in machine learning is a powerful statistical tool that plays a pivotal role in various fields, ranging from economics and finance to healthcare, environmental science, and beyond. This versatile technique allows us to explore and quantify the relationships between variables, making it an essential tool for predictive modelling, trend analysis, and decision-making.

The applications of regression analysis are as diverse as the disciplines it serves, enabling us to gain valuable insights, make informed predictions, and uncover hidden patterns within complex datasets. Thus some following applications of machine learning regression techniques are as follows:

### Predictive Modelling

One of the primary applications of regression analysis is predictive modelling. Businesses and organisations use regression for machine learning to forecast future outcomes based on historical data. Whether it is predicting sales, stock prices, or customer behaviour, regression models provide invaluable insights for decision-making.

### Economics and Finance

In the world of economics and finance, regression analysis is a cornerstone of research and decision-making. Economists use it to understand the relationship between economic indicators and economic health, while financial analysts rely on regression to predict stock prices, evaluate risk, and model financial scenarios.

### Medicine and Healthcare

Regression analysis plays a crucial role in the medical field. Researchers and doctors use it to investigate the impact of variables such as age, lifestyle, and genetics on health outcomes. From studying disease progression to assessing treatment effectiveness, regression aids in informed medical decision-making.

### Social Sciences

Social scientists turn to regression analysis to uncover complex relationships in society. It helps explore connections between various social factors, providing a data-driven understanding of human behaviour, preferences, and societal trends.

In the business world, regression is a vital tool for market research, customer segmentation, and advertising analysis. Marketers use regression for machine learning to understand consumer behaviour, optimise pricing strategies, and assess the impact of marketing campaigns on sales.

### Quality Control and Manufacturing

In manufacturing and quality control, regression analysis helps optimise processes and ensure product quality. It is used to analyse variables affecting product defects, production efficiency, and overall process optimisation.

## 6. Methodology Involved In Machine Learning and Regression

Machine learning regression is a type of supervised machine learning that is used to predict continuous values (Dependent variables must be continuous only. Independent variables can be continuous or discrete). It involves training a model to learn the relationship between a set of independent variables (also known as features) and a dependent variable (also known as the target variable). Once the model is trained, it can be used to predict the value of the dependent variable for new data points. The methodology involved in machine learning and regression can be summarised in the following steps:

### Data Collection

The first step in regression for machine learning is data collection. This involves gathering relevant data that accurately represents the problem or phenomenon under investigation. Data quality and representativeness are paramount, as the accuracy of your analysis depends on the quality of the data.

### Data Preprocessing

After collecting data, it is essential to preprocess it. This involves handling missing values, dealing with outliers, and transforming variables if necessary. Preprocessing ensures that the data is clean and suitable for analysis.

### Model Selection

Selecting the right regression model is a critical decision. It depends on the nature of the data, accuracy levels, and the specific problem you are addressing. Simple Linear Regression may be sufficient for some cases, while more complex models such as Multiple Linear Regression or Polynomial Regression may be needed for others.

### Model Evaluation

Once you have built your regression model, it is crucial to evaluate its performance. Common evaluation metrics include Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared, and others. Proper evaluation ensures that the model accurately captures the relationships in the data.

### Interpretation of Results

Interpreting the results of a regression analysis is where the real insights are drawn. It involves understanding the coefficients of the independent variables, their significance, and their impact on the dependent variable. This interpretation allows you to make informed decisions and draw meaningful conclusions from the analysis.

## 7. Challenges in Machine Learning Regression Techniques

Machine learning regression techniques are powerful tools for predicting continuous outcomes, but they can be challenging to implement and use effectively. In addition to these general challenges, there are also specific challenges associated with different types of regression algorithms in machine learning. For example, nonlinear regression problems can be more difficult to model than linear regression problems. By carefully considering the challenges and taking steps to mitigate them, data scientists can build accurate and reliable regression models.Some of the key challenges include:

### Multicollinearity

Multicollinearity is a common issue when two or more independent variables are highly correlated. It can make it challenging to determine the individual impact of each variable on the dependent variable.

### Heteroscedasticity

Heteroscedasticity refers to the unequal spread of residuals across the range of independent variables. This can violate one of the assumptions of regression and affect the validity of the model.

### Outliers

Outliers are data points that significantly deviate from the expected pattern. They can exert disproportionate influence on the regression model and must be identified and managed appropriately.

### Non-linearity

Sometimes, the relationship between variables is not linear, but rather follows a curve. Using linear regression in such cases can lead to inaccurate results. Detecting and addressing non-linearity is crucial for model accuracy.

### Overfitting

Overfitting occurs when a model fits the training data too closely, capturing noise and idiosyncrasies rather than true relationships. This can result in poor generalisation to new data, and it must be guarded against through techniques like regularisation.

Related: Popular Machine Learning Certification Courses From Top Providers

## Conclusion

In conclusion, regression analysis is a cornerstone of statistical and data analysis. It provides a powerful means to model relationships, make predictions, and uncover insights in various domains. By understanding the various regression and its types in machine learning, Linear regression in machine learning, machine learning regression techniques and their applications, and the challenges they face you are equipped to use this versatile tool effectively. Whether you are a Data analyst, researcher, or decision-maker, regression analysis for machine learning is a valuable asset in your toolkit for data-driven insights and informed decision-making.

1. What is regression analysis, and why is it important in statistics and data analysis?

Regression analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It is crucial for understanding and predicting relationships in data, making informed decisions, and solving various real-world problems.

2. What are the different types of regression models in machine learning?

There are several types of regression models in machine learning analysis, such as simple linear regression, multiple linear regression, polynomial regression, logistic regression, ridge regression, and lasso regression, among others.

3. What is the key difference between two regression models in machine learning, logistic regression and linear regression?

There are two regression models in machine learning,Linear regression and logistics regression. Linear regression predicts continuous numeric values, while logistic regression is used for binary classification problems, predicting probabilities or class labels (e.g., yes/no, true/false).

4. What are the limitations and assumptions of regression for machine learning?

Regression analysis assumes a linear relationship, independence of errors, and constant variance of errors. It can be sensitive to outliers and multicollinearity. Additionally, it may not capture complex non-linear relationships.

5. What is the purpose of regularisation techniques such as ridge and lasso regression?

Regularisation techniques included in  ridge and lasso regression are used to prevent overfitting in multiple linear regression models. They add penalties to the regression coefficients to encourage simpler and more generalisable models.

## Upcoming Exams

#### Manipal Entrance Test

Application Date:30 September,2023 - 14 March,2024

#### Alliance University Scholastic Aptitude Test

Application Date:18 October,2023 - 28 February,2024

#### Chandigarh University Common Entrance Test

Exam Date:19 October,2023 - 28 February,2024

#### Kalinga Institute of Industrial Technology Entrance Examination

Application Date:09 November,2023 - 18 March,2024

#### NMIMS Programs After Twelfth

Application Date:05 December,2023 - 19 May,2024

Have a question related to Machine Learning ?
Coursera 44 courses offered
IBM 20 courses offered
Udacity 12 courses offered
DataMites 8 courses offered

Database professionals use software to store and organise data such as financial information, and customer shipping records. Individuals who opt for a career as data administrators ensure that data is available for users and secured from unauthorised sales. DB administrators may work in various types of industries. It may involve computer systems design, service firms, insurance companies, banks and hospitals.

4 Jobs Available
##### Bio Medical Engineer

The field of biomedical engineering opens up a universe of expert chances. An Individual in the biomedical engineering career path work in the field of engineering as well as medicine, in order to find out solutions to common problems of the two fields. The biomedical engineering job opportunities are to collaborate with doctors and researchers to develop medical systems, equipment, or devices that can solve clinical problems. Here we will be discussing jobs after biomedical engineering, how to get a job in biomedical engineering, biomedical engineering scope, and salary.

4 Jobs Available
##### Geotechnical engineer

The role of geotechnical engineer starts with reviewing the projects needed to define the required material properties. The work responsibilities are followed by a site investigation of rock, soil, fault distribution and bedrock properties on and below an area of interest. The investigation is aimed to improve the ground engineering design and determine their engineering properties that include how they will interact with, on or in a proposed construction.

The role of geotechnical engineer in mining includes designing and determining the type of foundations, earthworks, and or pavement subgrades required for the intended man-made structures to be made. Geotechnical engineering jobs are involved in earthen and concrete dam construction projects, working under a range of normal and extreme loading conditions.

3 Jobs Available
##### Operations Manager

Individuals in the operations manager jobs are responsible for ensuring the efficiency of each department to acquire its optimal goal. They plan the use of resources and distribution of materials. The operations manager's job description includes managing budgets, negotiating contracts, and performing administrative tasks.

3 Jobs Available
##### Cartographer

How fascinating it is to represent the whole world on just a piece of paper or a sphere. With the help of maps, we are able to represent the real world on a much smaller scale. Individuals who opt for a career as a cartographer are those who make maps. But, cartography is not just limited to maps, it is about a mixture of art, science, and technology. As a cartographer, not only you will create maps but use various geodetic surveys and remote sensing systems to measure, analyse, and create different maps for political, cultural or educational purposes.

3 Jobs Available
##### GIS Expert

GIS officer work on various GIS software to conduct a study and gather spatial and non-spatial information. GIS experts update the GIS data and maintain it. The databases include aerial or satellite imagery, latitudinal and longitudinal coordinates, and manually digitized images of maps. In a career as GIS expert, one is responsible for creating online and mobile maps.

3 Jobs Available
##### Remote Sensing Technician

Individuals who opt for a career as a remote sensing technician possess unique personalities. Remote sensing analysts seem to be rational human beings, they are strong, independent, persistent, sincere, realistic and resourceful. Some of them are analytical as well, which means they are intelligent, introspective and inquisitive.

Remote sensing scientists use remote sensing technology to support scientists in fields such as community planning, flight planning or the management of natural resources. Analysing data collected from aircraft, satellites or ground-based platforms using statistical analysis software, image analysis software or Geographic Information Systems (GIS) is a significant part of their work. Do you want to learn how to become remote sensing technician? There's no need to be concerned; we've devised a simple remote sensing technician career path for you. Scroll through the pages and read.

3 Jobs Available
##### Database Architect

If you are intrigued by the programming world and are interested in developing communications networks then a career as database architect may be a good option for you. Data architect roles and responsibilities include building design models for data communication networks. Wide Area Networks (WANs), local area networks (LANs), and intranets are included in the database networks. It is expected that database architects will have in-depth knowledge of a company's business to develop a network to fulfil the requirements of the organisation. Stay tuned as we look at the larger picture and give you more information on what is db architecture, why you should pursue database architecture, what to expect from such a degree and what your job opportunities will be after graduation. Here, we will be discussing how to become a data architect. Students can visit NIT Trichy, IIT Kharagpur, JMI New Delhi

3 Jobs Available
##### Budget Analyst

Budget analysis, in a nutshell, entails thoroughly analyzing the details of a financial budget. The budget analysis aims to better understand and manage revenue. Budget analysts assist in the achievement of financial targets, the preservation of profitability, and the pursuit of long-term growth for a business. Budget analysts generally have a bachelor's degree in accounting, finance, economics, or a closely related field. Knowledge of Financial Management is of prime importance in this career.

4 Jobs Available
##### Operations Manager

Individuals in the operations manager jobs are responsible for ensuring the efficiency of each department to acquire its optimal goal. They plan the use of resources and distribution of materials. The operations manager's job description includes managing budgets, negotiating contracts, and performing administrative tasks.

3 Jobs Available
##### Finance Executive

A career as a Finance Executive requires one to be responsible for monitoring an organisation's income, investments and expenses to create and evaluate financial reports. His or her role involves performing audits, invoices, and budget preparations. He or she manages accounting activities, bank reconciliations, and payable and receivable accounts.

3 Jobs Available
##### Data Analyst

The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.

Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.

3 Jobs Available
##### Product Manager

A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.

3 Jobs Available
##### Investment Banker

An Investment Banking career involves the invention and generation of capital for other organizations, governments, and other entities. Individuals who opt for a career as Investment Bankers are the head of a team dedicated to raising capital by issuing bonds. Investment bankers are termed as the experts who have their fingers on the pulse of the current financial and investing climate. Students can pursue various Investment Banker courses, such as Banking and Insurance, and Economics to opt for an Investment Banking career path.

3 Jobs Available
##### Underwriter

An underwriter is a person who assesses and evaluates the risk of insurance in his or her field like mortgage, loan, health policy, investment, and so on and so forth. The underwriter career path does involve risks as analysing the risks means finding out if there is a way for the insurance underwriter jobs to recover the money from its clients. If the risk turns out to be too much for the company then in the future it is an underwriter who will be held accountable for it. Therefore, one must carry out his or her job with a lot of attention and diligence.

3 Jobs Available

A career as financial advisor is all about assessing one’s financial situation, understanding what one wants to do with his or her money, and helping in creating a plan to reach one’s financial objectives. An Individual who opts for a career as financial advisor helps individuals and corporations reduce spending, pay off their debt, and save and invest for the future. The financial advisor job description includes working closely with both individuals and corporations to help them attain their financial objectives.

2 Jobs Available
##### Welding Engineer

Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.

5 Jobs Available
##### Transportation Planner

A career as Transportation Planner requires technical application of science and technology in engineering, particularly the concepts, equipment and technologies involved in the production of products and services. In fields like land use, infrastructure review, ecological standards and street design, he or she considers issues of health, environment and performance. A Transportation Planner assigns resources for implementing and designing programmes. He or she is responsible for assessing needs, preparing plans and forecasts and compliance with regulations.

3 Jobs Available
##### Conservation Architect

A Conservation Architect is a professional responsible for conserving and restoring buildings or monuments having a historic value. He or she applies techniques to document and stabilise the object’s state without any further damage. A Conservation Architect restores the monuments and heritage buildings to bring them back to their original state.

2 Jobs Available
##### Safety Manager

A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.

2 Jobs Available

A Team Leader is a professional responsible for guiding, monitoring and leading the entire group. He or she is responsible for motivating team members by providing a pleasant work environment to them and inspiring positive communication. A Team Leader contributes to the achievement of the organisation’s goals. He or she improves the confidence, product knowledge and communication skills of the team members and empowers them.

2 Jobs Available
##### Structural Engineer

A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.

2 Jobs Available
##### Architect

Individuals in the architecture career are the building designers who plan the whole construction keeping the safety and requirements of the people. Individuals in architect career in India provides professional services for new constructions, alterations, renovations and several other activities. Individuals in architectural careers in India visit site locations to visualize their projects and prepare scaled drawings to submit to a client or employer as a design. Individuals in architecture careers also estimate build costs, materials needed, and the projected time frame to complete a build.

2 Jobs Available
##### Landscape Architect

Having a landscape architecture career, you are involved in site analysis, site inventory, land planning, planting design, grading, stormwater management, suitable design, and construction specification. Frederick Law Olmsted, the designer of Central Park in New York introduced the title “landscape architect”. The Australian Institute of Landscape Architects (AILA) proclaims that "Landscape Architects research, plan, design and advise on the stewardship, conservation and sustainability of development of the environment and spaces, both within and beyond the built environment". Therefore, individuals who opt for a career as a landscape architect are those who are educated and experienced in landscape architecture. Students need to pursue various landscape architecture degrees, such as M.Des, M.Plan to become landscape architects. If you have more questions regarding a career as a landscape architect or how to become a landscape architect then you can read the article to get your doubts cleared.

2 Jobs Available
##### Orthotist and Prosthetist

Orthotists and Prosthetists are professionals who provide aid to patients with disabilities. They fix them to artificial limbs (prosthetics) and help them to regain stability. There are times when people lose their limbs in an accident. In some other occasions, they are born without a limb or orthopaedic impairment. Orthotists and prosthetists play a crucial role in their lives with fixing them to assistive devices and provide mobility.

6 Jobs Available
##### Veterinary Doctor

A veterinary doctor is a medical professional with a degree in veterinary science. The veterinary science qualification is the minimum requirement to become a veterinary doctor. There are numerous veterinary science courses offered by various institutes. He or she is employed at zoos to ensure they are provided with good health facilities and medical care to improve their life expectancy.

5 Jobs Available
##### Pathologist

A career in pathology in India is filled with several responsibilities as it is a medical branch and affects human lives. The demand for pathologists has been increasing over the past few years as people are getting more aware of different diseases. Not only that, but an increase in population and lifestyle changes have also contributed to the increase in a pathologist’s demand. The pathology careers provide an extremely huge number of opportunities and if you want to be a part of the medical field you can consider being a pathologist. If you want to know more about a career in pathology in India then continue reading this article.

5 Jobs Available
##### Gynaecologist

Gynaecology can be defined as the study of the female body. The job outlook for gynaecology is excellent since there is evergreen demand for one because of their responsibility of dealing with not only women’s health but also fertility and pregnancy issues. Although most women prefer to have a women obstetrician gynaecologist as their doctor, men also explore a career as a gynaecologist and there are ample amounts of male doctors in the field who are gynaecologists and aid women during delivery and childbirth.

4 Jobs Available
##### Oncologist

An oncologist is a specialised doctor responsible for providing medical care to patients diagnosed with cancer. He or she uses several therapies to control the cancer and its effect on the human body such as chemotherapy, immunotherapy, radiation therapy and biopsy. An oncologist designs a treatment plan based on a pathology report after diagnosing the type of cancer and where it is spreading inside the body.

3 Jobs Available
##### Audiologist

The audiologist career involves audiology professionals who are responsible to treat hearing loss and proactively preventing the relevant damage. Individuals who opt for a career as an audiologist use various testing strategies with the aim to determine if someone has a normal sensitivity to sounds or not. After the identification of hearing loss, a hearing doctor is required to determine which sections of the hearing are affected, to what extent they are affected, and where the wound causing the hearing loss is found. As soon as the hearing loss is identified, the patients are provided with recommendations for interventions and rehabilitation such as hearing aids, cochlear implants, and appropriate medical referrals. While audiology is a branch of science that studies and researches hearing, balance, and related disorders.

3 Jobs Available
##### Dental Surgeon

A Dental Surgeon is a professional who possesses specialisation in advanced dental procedures and aesthetics. Dental surgeon duties and responsibilities may include fitting dental prosthetics such as crowns, caps, bridges, veneers, dentures and implants following apicoectomy and other surgical procedures.

2 Jobs Available
##### Actor

For an individual who opts for a career as an actor, the primary responsibility is to completely speak to the character he or she is playing and to persuade the crowd that the character is genuine by connecting with them and bringing them into the story. This applies to significant roles and littler parts, as all roles join to make an effective creation. Here in this article, we will discuss how to become an actor in India, actor exams, actor salary in India, and actor jobs.

4 Jobs Available
##### Acrobat

Individuals who opt for a career as acrobats create and direct original routines for themselves, in addition to developing interpretations of existing routines. The work of circus acrobats can be seen in a variety of performance settings, including circus, reality shows, sports events like the Olympics, movies and commercials. Individuals who opt for a career as acrobats must be prepared to face rejections and intermittent periods of work. The creativity of acrobats may extend to other aspects of the performance. For example, acrobats in the circus may work with gym trainers, celebrities or collaborate with other professionals to enhance such performance elements as costume and or maybe at the teaching end of the career.

3 Jobs Available
##### Video Game Designer

Career as a video game designer is filled with excitement as well as responsibilities. A video game designer is someone who is involved in the process of creating a game from day one. He or she is responsible for fulfilling duties like designing the character of the game, the several levels involved, plot, art and similar other elements. Individuals who opt for a career as a video game designer may also write the codes for the game using different programming languages.

Depending on the video game designer job description and experience they may also have to lead a team and do the early testing of the game in order to suggest changes and find loopholes.

3 Jobs Available
##### Talent Agent

The career as a Talent Agent is filled with responsibilities. A Talent Agent is someone who is involved in the pre-production process of the film. It is a very busy job for a Talent Agent but as and when an individual gains experience and progresses in the career he or she can have people assisting him or her in work. Depending on one’s responsibilities, number of clients and experience he or she may also have to lead a team and work with juniors under him or her in a talent agency. In order to know more about the job of a talent agent continue reading the article.

If you want to know more about talent agent meaning, how to become a Talent Agent, or Talent Agent job description then continue reading this article.

3 Jobs Available

Radio Jockey is an exciting, promising career and a great challenge for music lovers. If you are really interested in a career as radio jockey, then it is very important for an RJ to have an automatic, fun, and friendly personality. If you want to get a job done in this field, a strong command of the language and a good voice are always good things. Apart from this, in order to be a good radio jockey, you will also listen to good radio jockeys so that you can understand their style and later make your own by practicing.

A career as radio jockey has a lot to offer to deserving candidates. If you want to know more about a career as radio jockey, and how to become a radio jockey then continue reading the article.

3 Jobs Available
##### Videographer

Careers in videography are art that can be defined as a creative and interpretive process that culminates in the authorship of an original work of art rather than a simple recording of a simple event. It would be wrong to portrait it as a subcategory of photography, rather photography is one of the crafts used in videographer jobs in addition to technical skills like organization, management, interpretation, and image-manipulation techniques. Students pursue Visual Media, Film, Television, Digital Video Production to opt for a videographer career path. The visual impacts of a film are driven by the creative decisions taken in videography jobs. Individuals who opt for a career as a videographer are involved in the entire lifecycle of a film and production.

2 Jobs Available
##### Multimedia Specialist

A multimedia specialist is a media professional who creates, audio, videos, graphic image files, computer animations for multimedia applications. He or she is responsible for planning, producing, and maintaining websites and applications.

2 Jobs Available
##### Producer

An individual who is pursuing a career as a producer is responsible for managing the business aspects of production. They are involved in each aspect of production from its inception to deception. Famous movie producers review the script, recommend changes and visualise the story.

They are responsible for overseeing the finance involved in the project and distributing the film for broadcasting on various platforms. A career as a producer is quite fulfilling as well as exhaustive in terms of playing different roles in order for a production to be successful. Famous movie producers are responsible for hiring creative and technical personnel on contract basis.

2 Jobs Available
##### Copy Writer

In a career as a copywriter, one has to consult with the client and understand the brief well. A career as a copywriter has a lot to offer to deserving candidates. Several new mediums of advertising are opening therefore making it a lucrative career choice. Students can pursue various copywriter courses such as Journalism, Advertising, Marketing Management. Here, we have discussed how to become a freelance copywriter, copywriter career path, how to become a copywriter in India, and copywriting career outlook.

5 Jobs Available
##### Editor

Individuals in the editor career path is an unsung hero of the news industry who polishes the language of the news stories provided by stringers, reporters, copywriters and content writers and also news agencies. Individuals who opt for a career as an editor make it more persuasive, concise and clear for readers. In this article, we will discuss the details of the editor's career path such as how to become an editor in India, editor salary in India and editor skills and qualities.

3 Jobs Available
##### Journalist

Careers in journalism are filled with excitement as well as responsibilities. One cannot afford to miss out on the details. As it is the small details that provide insights into a story. Depending on those insights a journalist goes about writing a news article. A journalism career can be stressful at times but if you are someone who is passionate about it then it is the right choice for you. If you want to know more about the media field and journalist career then continue reading this article.

3 Jobs Available
##### Publisher

For publishing books, newspapers, magazines and digital material, editorial and commercial strategies are set by publishers. Individuals in publishing career paths make choices about the markets their businesses will reach and the type of content that their audience will be served. Individuals in book publisher careers collaborate with editorial staff, designers, authors, and freelance contributors who develop and manage the creation of content.

3 Jobs Available
##### Vlogger

In a career as a vlogger, one generally works for himself or herself. However, once an individual has gained viewership there are several brands and companies that approach them for paid collaboration. It is one of those fields where an individual can earn well while following his or her passion.

Ever since internet costs got reduced the viewership for these types of content has increased on a large scale. Therefore, a career as a vlogger has a lot to offer. If you want to know more about the Vlogger eligibility, roles and responsibilities then continue reading the article.

3 Jobs Available
##### Travel Journalist

The career of a travel journalist is full of passion, excitement and responsibility. Journalism as a career could be challenging at times, but if you're someone who has been genuinely enthusiastic about all this, then it is the best decision for you. Travel journalism jobs are all about insightful, artfully written, informative narratives designed to cover the travel industry. Travel Journalist is someone who explores, gathers and presents information as a news article.

2 Jobs Available
##### Videographer

Careers in videography are art that can be defined as a creative and interpretive process that culminates in the authorship of an original work of art rather than a simple recording of a simple event. It would be wrong to portrait it as a subcategory of photography, rather photography is one of the crafts used in videographer jobs in addition to technical skills like organization, management, interpretation, and image-manipulation techniques. Students pursue Visual Media, Film, Television, Digital Video Production to opt for a videographer career path. The visual impacts of a film are driven by the creative decisions taken in videography jobs. Individuals who opt for a career as a videographer are involved in the entire lifecycle of a film and production.

2 Jobs Available
##### SEO Analyst

An SEO Analyst is a web professional who is proficient in the implementation of SEO strategies to target more keywords to improve the reach of the content on search engines. He or she provides support to acquire the goals and success of the client’s campaigns.

2 Jobs Available
##### Welding Engineer

Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.

5 Jobs Available
##### Product Manager

A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.

3 Jobs Available
##### Quality Controller

A quality controller plays a crucial role in an organisation. He or she is responsible for performing quality checks on manufactured products. He or she identifies the defects in a product and rejects the product.

A quality controller records detailed information about products with defects and sends it to the supervisor or plant manager to take necessary actions to improve the production process.

3 Jobs Available
##### Reliability Engineer

Are you searching for a Reliability Engineer job description? A Reliability Engineer is responsible for ensuring long lasting and high quality products. He or she ensures that materials, manufacturing equipment, components and processes are error free. A Reliability Engineer role comes with the responsibility of minimising risks and effectiveness of processes and equipment.

2 Jobs Available
##### Safety Manager

A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.

2 Jobs Available
##### Corporate Executive

Are you searching for a Corporate Executive job description? A Corporate Executive role comes with administrative duties. He or she provides support to the leadership of the organisation. A Corporate Executive fulfils the business purpose and ensures its financial stability. In this article, we are going to discuss how to become corporate executive.

2 Jobs Available
##### AWS Solution Architect

An AWS Solution Architect is someone who specializes in developing and implementing cloud computing systems. He or she has a good understanding of the various aspects of cloud computing and can confidently deploy and manage their systems. He or she troubleshoots the issues and evaluates the risk from the third party.

4 Jobs Available

An Azure Administrator is a professional responsible for implementing, monitoring, and maintaining Azure Solutions. He or she manages cloud infrastructure service instances and various cloud servers as well as sets up public and private cloud systems.

4 Jobs Available
##### Information Security Manager

Individuals in the information security manager career path involves in overseeing and controlling all aspects of computer security. The IT security manager job description includes planning and carrying out security measures to protect the business data and information from corruption, theft, unauthorised access, and deliberate attack

3 Jobs Available
##### Computer Programmer

Careers in computer programming primarily refer to the systematic act of writing code and moreover include wider computer science areas. The word 'programmer' or 'coder' has entered into practice with the growing number of newly self-taught tech enthusiasts. Computer programming careers involve the use of designs created by software developers and engineers and transforming them into commands that can be implemented by computers. These commands result in regular usage of social media sites, word-processing applications and browsers.

3 Jobs Available
##### Product Manager

A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.

3 Jobs Available
##### .NET Developer

.NET Developer Job Description: A .NET Developer is a professional responsible for producing code using .NET languages. He or she is a software developer who uses the .NET technologies platform to create various applications. Dot NET Developer job comes with the responsibility of  creating, designing and developing applications using .NET languages such as VB and C#.

2 Jobs Available