Learn Machine Learning in 21 Days – (Free Course)


What you’ll learn

  1. Master Machine Learning on Python
  2. Make accurate predictions
  3. Make robust Machine Learning models
  4. Use Machine Learning for personal purpose
  5. Have a great intuition of many Machine Learning models
  6. Know which Machine Learning model to choose for each type of problem
  7. Use SciKit-Learn for Machine Learning Tasks
  8. Make predictions using linear regression, polynomial regression, and multiple regression
  9. Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, etc.

This course includes:

  • 4.5 hours on-demand video
  • 17 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion


Are you interested in the field of machine learning? Then this course is for you!

This course was created by Code Warriors, ML enthusiasts, so we can share our knowledge and help you learn complex coding theories, algorithms and libraries in an easy way.


We guide you step by step through the world of machine learning. With each lesson, you will develop new skills and increase your understanding of this challenging but rewarding subfield of data science.

This course is fun and exciting, but at the same time we are deep into machine learning. It is structured as follows:

You can achieve a lot in 21 days. In fact, this is the ideal number of days needed to start a new habit!

What you will learn:-

  1. Machine Learning Overview
  2. Real-time dataset regression algorithm
  3. Regression mini project
  4. Algorithm for classifying data sets in real time
  5. Classification mini project
  6. Completion of the model
  7. Application of the ML model

How to Get this course FREE?

Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).

External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. Read our disclosure.

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