Certificate Course in Machine Learning using Python
Upgrade your skills with the knowledge of Machine learning and its latest applications with the NIELIT’s certification course on Machine learning using Python.
Online
6 Weeks
2,450 INR Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English, Hindi | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The course on Machine learning using python, are apt for aspirants who want to create a promising career in the field of Machine learning. Aimed to provide insights on the fundamental concepts and techniques of Machine Learning, it is also equipped with the upgraded learning experience song with the usage of Python Language.
The online course is offered by the National Institute of Electronics & Information Technology (NIELIT) in Haridwar, an educational intuition recognized by the Ministry of Electronics & Information Technology of the Indian government. This short course is packed with informative e-Content and is rewarded with an e-Certificate upon the successful completion of the course to each participant.
The course mainly focuses on the fundamentals in the topic of machine learning such as Data visualization, Data manipulation, Collection, details on Python, Machine learning algorithms, etc. this is also an introductory level course that provides the learners with the required knowledge in Machine learning which could even help them in molding their relevant future skills.
The Highlights
- Course offered by NIELIT, Haridwar
- Online classes with e-Content
- Provides e-Certificate upon successful completion
- The course duration of 6 weeks
- The course includes 2 weeks project without additional fees
- A fundamental course on Machine learning
Programme Offerings
- Online Class
- Presentations
- E-handouts
- Online assignments
- Quiz & project.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NIELIT Gorakhpur |
- This online course on Machine learning using Python has a course fee of Rs 2,450.
- The course includes a project which is free of cost.
- The amount charged will not be refunded or transferred.
Fee category | Amount in Rupees |
Course fee | Rs. 2,450 |
Note: The website shows the possibility of the course fee getting revised soon. The candidates can check the website for any further updates regarding this.
Eligibility Criteria
Education
The aspirants should have or be pursuing B.E/B.Tech/MCA/BCA with a good fundamental knowledge of Python language.
Certification qualifying details
The students will be provided with an e-Certificate after the completion of the course on Machine learning using Python. Also, the students require to maintain 75% attendance during the online sessions and should score a minimum of 50% in the online examination in order to successfully complete the course with certification.
What you will learn
This insightful course on Machine learning using python provides a learning experience that encapsulates knowledge in the following areas such as:
- To deep learn the concepts and techniques of Machine learning.
- To get application-based learning about the techniques of Machine learning.
- To get exposure to the use of the latest Machine learning software.
- Understand the usage of software for solving practical problems.
- Learn to perform data manipulation using NumPy and Pandas.
- To analyze machine learning by studying its different types.
- To know how to implement the technique of Data visualization using Matplotlib.
- To upgrade the python program skills by knowing its functions and arrays.
- To explore the potential of machine learning in a professional setup.
- To prepare students with future skills relevant for further studies and research.
Who it is for
The course is specially designed for:
- Aspirants who wish to pursue a career with Machine learning with the required eligibility.
- Aspirants who are already in the Engineering field who are working or want to pursue higher studies.
Admission Details
Like the course itself, the admission procedure of the course on Machine learning using Python follows an online mode of registration.
The students can complete the following simple steps for successful course registration :
Step:1 - browse the homepage of the course from the URL- https://nielit.gov.in/gorakhpur/sites/default/files/Gorakhpur/C02_MachineLearningBrochure_200830.pdf
Step:2 - The students can check for the availability of the course that they wish to apply for.
Step:3 - Click on the icon, Register, to initiate the registration process.
Step:4 - Students need to fill in the registration form to which they are directed.
Step:5 - After successfully providing all the necessary details, submit the registration form.
Step:6 - Students can proceed to fee payment with a suitable online payment option.
Step:7- After the successful payment of the course, the registration is completed and the student can access the course content.
The Syllabus
- Introduction to Machine Learning
- Applications of Machine Learning
- Types of Machine Learning
- Python Installation with various IDEs
- Simple Python Program
- Python Data Types
- Lists, Tuples, Dictionary in Python
- Python Control Structure
- Conditional Statements
- Loops in Python
- Python Functions
- Defining a function
- Calling a Function
- Lambda and Map Function
- Object Oriented Programming Concepts
- Creating Classes in Python
- Constructor
- Inheritance in Python Classes
- Python Modules
- Python Packages
- NumPy in Python
- Pandas in Python
- Exercises and Practice Problems in Python
- Exercises and Practice Problems in Python
- Types of Problems in Machine Learning
- Regression, Classification
- Clustering
- Pre-processing of data for Machine Learning
- Handling Null Values
- Data Summarization
- Regression Problem
- Solving First Machine Learning Problem
- Training and Testing Data
- Applying ML Algorithm: Linear Regression
- Using SkLearn Module
- Applying ML Algorithm: Decision Tree Regression, Random Forest Regression
- Performance Evaluation of ML Model
- Deployment of Machine Learning Model
- Classification Problem
- Solving Classification Problem: Loan Prediction Problem (Mini Project 1)
- Handling Null Values and Categorical Data
- Applying ML Algorithm: Logistic Regression, Support Vector Machine, Decision Tree Classifier, K-Neighbor Classifier, Gaussian Naïve Bayes (continued from previous day)
- Deployment of Classification Model
- Performance Evaluation of Classification Model
- Confusion Matrix
- Working on Images in Python
- Image Classification Problem (Mini project 2)
- Making ML Model
- Evaluating Model
- Deployment of Model
- Text Classification
- Count Vectorizer
- Solving Text Classification Problem: Spam Detection (Mini Project 3)
- Making Model
- Solving Text Classification Problem (continued from previous day)
- Model Evaluation
- Confusion Matrix
- Accessing Twitter Data in Python for Sentiment analysis etc.
- Mathematics behind Regression Algorithms
- Mathematics Behind Classification Algorithm
- Purity Matrix
- Data Exploration and Visualization using matplotlib and seaborn modules
- Clustering Problem • Making Clustering Model from Customer data (Mini Project
- Applying K-Means Clustering Algorithm
- Elbow Method
- Feature Importance
- Correlation Matrix
- Ensemble Learning
- Questions & Answer Session
- Final Test
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