Home Collections 12 Best + Free Python Machine Learning Courses 2022

12 Best + Free Python Machine Learning Courses 2022

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Python is considered to be the best choice for machine learning undoubtedly. Not only it is easy to understand but the data validation is quite quick and practically error-free. It gives you access to developed library ecosystem which allows developers to perform complex tasks without doing any extensive coding.

To understand more about machine learning with python, a group of 5+ members at takethiscourse.net has compiled a list of 12 Best + Free Python Machine Learning Courses 2022. This list has been compiled after careful consideration and has the best Python Machine Learning courses. So let us take a look at this list.

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best Python Machine Learning Courses

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Machine Learning with Python

      • IBM via Coursera
      • 265,434+ already enrolled!
      • ★★★★★ (12,492 Ratings)

Machine Learning with Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This “Machine Learning with Python” course dives deep into the basics of machine learning through Python which is a well-known programming language.

  • The best thing about this course is its focus on two main components. First, you will be explained the purpose of Machine Learning and how we apply it in the real world. Second you will get an overview of Machine Learning topics.
  • This course is for those who wish to gain a deeper understanding of the Machine Learning algorithms and much more. Check out the Best Machine Learning Courses that you might also be interested in.
This is most probably the best course I ever got to learn from. It gave me the most important background on what data science is. The project at the end of the course was very challenging yet fun to complete. (Peter H, ★★★★★)

Coursera Plus CoursesMore Python Machine Learning Courses

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Machine Learning with Python: from Linear Models to Deep Learning

      • MIT via edX
      • 160,718+ already enrolled!
      • ★★★★★ (7,213 Ratings)

Machine Learning with Python- from Linear Models to Deep Learning

This class is all about helping you understand the principles which are behind machine learning problems. This includes classification, clustering, regression, and more.

  • The reason why we chose this course is its focus on explaining how to implement and analyze models like linear models, neural networks, graphical models, and more.
  • This course is for those who wish to learn to implement and organize all the machine learning projects in a step-by-step guide.

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Machine Learning with Python: Foundations

      • Frederick Nwanganga via LinkedIn
      • 23,902+ already enrolled!
      • ★★★★★ (495 Ratings)

Machine Learning with Python- Foundations

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This course is all about introducing learners to machine learning but in an approachable way.

  • The best thing about this course is its focus on explaining what it means for machines to learn, collect, understand and prepare data.
  • This course is for those who wish to learn to build, evaluate, and interpret results of a machine learning model in Python.

Related: Best + Free Machine Learning Finance Courses

This was an excellent course that had very clear explanations. The examples were great and very practical and I believe this course has everything you need to understand Machine Learning with Python. (Lorena Garcia, ★★★★★)

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Python for Data Science and Machine Learning Bootcamp

      • Jose Portilla via Udemy
      • 540,873+ already enrolled!
      • ★★★★★ (115,039 Ratings)

Python for Data Science and Machine Learning Bootcamp

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

In this Python for data science bootcamp, you will be taught how to use Python for both data science and machine learning.

  • The reason why we chose this course is its focus on explaining how to implement machine learning algorithms and use spark for big data analysis.
  • This course is for those who wish to learn all about liner and logistic regression and use SciKit-Learn for machine learning tasks and many other things.
This course had very clear and easy to understand instructions. The taught concepts were quite important and explained really well by the instructor. I was able to learn a lot of new things from this course which can then allow me to take another course in machine learning. (Shams K, ★★★★★)

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Building Recommendation Engines in Python

      • Robert O’Callaghan via DataCamp
      • 5,026+ already enrolled!
      • 04 hours of effort required!

Building Recommendation Engines in Python

“Building Recommendation Engines in Python” course is all about explaining how to build recommendation engines in Python and that too using machine learning techniques.

  • The best thing about this course is its focus on providing hands-on experience for getting grip of the two most common systems which are, collaborative filtering and content-based filtering.
  • This course is for all those who wish to learn to evaluate the quality of recommendations on test data using Root Mean Square Error (RMSE).

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Applied Machine Learning in Python

      • IBM via Coursera
      • 256,508+ already enrolled!
      • ★★★★★ (7,980 Ratings)

Applied Machine Learning in Python

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

In this “Applied Machine Learning in Python” course, you will get a detailed introduction to applied machine learning. The course starts with a discussion on how machine learning is different than descriptive statistics.

  • The best thing about this course is its focus on the techniques and methods in applied machine learning.
  • This course is for all those who wish to understand how to cluster data, evaluate the clusters and understand so much more about applied machine learning.
The lectures of this course were quite great, not too direct neither too complicated to understand. The assignments were reasonably difficult but it was great solving them. The forums were also quite interesting to review the problems and find solutions to different errors. (Mo R, ★★★★★)

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Unsupervised Learning in Python

      • Benjamin Wilson via DataCamp
      • 100,987+ already enrolled!
      • 04 hours of effort required!

Unsupervised Learning in Python

This class is all about explaining a variety of techniques involved in machine learning. You will be taught how to cluster, transform, and visualize insights from unlabeled datasets.

  • The reason why we chose this class is its focus on explaining the fundamentals of unsupervised learning and how you can implement the essential algorithms using scikit-learn and ScipPy.
  • This class is for all those who wish to learn to build a recommender system to recommend popular musical artists and so much more about unsupervised learning in python.

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Python Machine Learning Certification Training

      • via Edureka
      • 12,000+ already enrolled!
      • ★★★★★
Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This training is all about helping you gain expertise in several machine learning algorithms which include regression, clustering, random forest, Naïve Bayes, and Q-Learning.

  • The best thing about this training is its focus on explaining the concepts of statistics, time series, and reinforcement algorithms.
  • This training is for all those who wish to solve real-life case studies on media, healthcare, social media, and aviation etc and understand machine learning with python.
This was a wonderful and quite valuable learning experience for me. It had best support team as well. The training was so precise and easy to understand that even a beginner like me was able to learn so much from it. (Poonam Satish, ★★★★★)

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Machine Learning: Theory and Hands-on Practice with Python Specialization

      • University of Colorado Boulder via Coursera
      • 1,532+ already enrolled!
      • ★★★☆☆ (5 Ratings)

Machine Learning- Theory and Hands-on Practice with Python Specialization

Are you interested in exploring the supervised and unsupervised learning algorithms and understand some of the very important deep learning topics? If yes then this class is what you need.

  • The reason why we chose this class is its focus on explaining how to build and evaluate machine learning models.
  • This class is for all those who wish to learn to improve model performance by tuning hyperparameters and much more.
This was a great specialization and all the three courses can help a learner develop a good understanding of machine learning and other deep learning techniques. (Anonymous learner, ★★★★★)

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Feature Engineering for Machine Learning in Python

      • Robert O’Callaghan via DataCamp
      • 18,806+ already enrolled!
      • 04 hours of effort required!

Feature Engineering for Machine Learning in Python

Do you want to learn to create new features for improving the performance of all your machine learning models? If yes, then this course is your answer.

  • The best thing about this course is its focus on explaining how you can work with stack overflow developer survey and historic US presidential inauguration addresses and deal with unstructured data.
  • This course is for all those who wish to understand how to prepare any data for your own machine learning models.

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Investment Management with Python and Machine Learning Specialization

      • EDHEC Business School via Coursera
      • 27,938+ already enrolled!
      • ★★★★★ (1,335 Ratings)

Investment Management with Python and Machine Learning Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

In this course, you will be taught how to write custom python code and how to use existing python libraries for building and analyzing efficient portfolio strategies.

  • The reason why we chose this course is its focus on explaining the principles of supervised and unsupervised machine learning techniques to financial data sets.
  • This course is for those who wish to gain a deeper understanding of the advanced data analytics methodologies.
This specialization is quite unique and offers practical information which can be applied at work as well. I was able to learn so much about how to custom a Python code and other techniques in python and machine learning. (Anonymous learner, ★★★★★)

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Data Science and Machine Learning with Python Masterclass

      • via SkillShare

In this highly practical hands-on class, you will learn to use Python for data science and machine learning in the best possible manner.

  • The best thing about this class is its focus on explaining all the machine learning concepts and algorithms. You will also understand how to use different scripting and libraries within python.
  • This class is for those who wish to understand all the concepts that lie behind data science and machine learning with python.

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Final Thoughts

Python machine learning is without any doubt very interesting and worth your time and effort. So it is best to learn all its fundamentals efficiently. Therefore, choose from one of the above python machine learning courses today and never stop learning.