- Data Processing in Python
- Data Processing in R
Machine Learning A-Z™: Hands-On Python & R In Data Science
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Machine Learning A-Z™: Hands-On Python & R In Data Science online course is a study about the algorithms of machine learning using Python and R programming languages in data science. The online course is provided by Udemy for students who wish to learn about data science and machine learning concepts. The course consists of forty-four hours worth of videos, lectures, articles, and other significant resources for the students to learn at their own pace.
The online training helps engages the students in practical understanding of concepts and principles to apply in real-time situations.
The online program is developed by instructors such as Kirill Eremenko(Data Scientist), Hadelin de Ponteves(AI Entrepreneur), SuperDataScience Support, and Ligency Team. The students get access to the course materials all the time. The Machine Learning A-Z™: Hands-On Python & R In Data Science training program will provide the students with the course certificate after completing the program.
The highlights
- Online mode
- Forty-four hours of video content
- Professional guidance
- Independent learning
- Full time access
- Course certificate
Program offerings
- Video lectures
- Articles
- Resources
- Mobile access
- Tv access
- Certificate of completion
Course and certificate fees
Fees information
The students of the ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ certification course can get access to the course paying the course fee as mentioned in the table,
Machine Learning A-Z™: Hands-On Python & R In Data Science fee structure
Course fee | Rs 3999 |
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
The Machine Learning A-Z™: Hands-On Python & R In Data Science online certification helps the students to prepare themselves in gaining knowledge and skills to be an expert of Data scientists and learn about machine learning.
Eligibility criteria
The students who wish to apply for the ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ online training should have basic knowledge of high school level mathematics to join the course.
Certificate qualifying details
The Machine Learning A-Z™: Hands-On Python & R In Data Science training provides the students a certificate of completion after finishing the course study.
What you will learn
The Machine Learning A-Z™: Hands-On Python & R In Data Science syllabus structure enables the students to gain a complete understanding of the domain of machine learning with the following aspects,
- Definite predictions and build strong machine learning models.
- Utilize the techniques of machine learning for personal purposes and the advanced techniques for dimensionality reduction.
- Create a bunch of machine learning models and know the methods to combine them and use them to solve problems.
- Perform power analysis and add value to your business.
- Reinforcement learning, deep learning, and Natural Language Processing(NLP).
The syllabus
Welcome to the course
Part 1: Data Processing
Part 2: Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Support Vector Regression (SVR)
- Decision tree regression
- Random forest regression
- Evaluating Regression Models performance
- Regression Model Selection in Python
- Regression Model Selection in R
Part 3: Classification
- Logistic Regression
- K-Nearest Neighbours (K-NN)
- Support Vector Machine (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- Classification Model Selection in Python
- Evaluating Classification Models Performance
Part 4: Clustering
- K-Means Clustering
- Hierarchical Clustering
Part 5: Association Rule Learning
- Apriori
- Eclat
Part 6: Reinforcement Learning
- Upper Confidence Bound(UCB)
- Thompson Sampling
Part 7: Natural Language Processing
Part 8: Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
Part 9: Dimensionality Reduction
- Principle Component Analysis(PCA)
- Linear Discriminant Analysis(LDA)
- Kernel PCA
Part 10: Model Selection & Boosting
- Model Selection
- k-fold Cross-Validation
- Parameter Tuning
- Grid Search
- XGBoost
Bonus lecture
Admission details
The students interested in joining the ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ course can register online through the Udemy website.
Step 1: Using the link below get to the course page,
https://www.udemy.com/course/machinelearning/
Step 2: Select the ‘Buy Now’ option below the course name on the page.
Step 3: Follow the instructions to complete the registration.
Filling the form
The applicants should fill in the registration form with their name, email address, and a password for the Udemy course account to join the course.
How it helps
The Machine Learning A-Z™: Hands-On Python & R In Data Science helps the students in equipping themselves with the machine learning skills and knowledge about the use of Python and R in Data Science. The students gain exclusive data science knowledge with expertise for career development along with the course certificate.
Instructors
FAQs
Which online education platform offers the course on ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’?
The online course is provided by Udemy.
When do I have to log in to complete the ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ online course?
After purchasing the course, you get access to them at any time and can complete the course at your speed.
What is the prerequisite to join ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ classes?
The students are required to have a basic knowledge of high school mathematics.
Will I get a course certificate after the ‘Machine Learning A-Z™: Hands-On Python & R In Data Science’ training program?
The course provides a course completion certificate after finishing the program.