Complete Machine Learning & Data Science with Python | From A-Z

Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.

Complete Machine Learning & Data Science with Python From A to Z Free


Hello there,

Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, my course on Udemy here to help you apply machine learning to your work.

Welcome to the “Complete Machine Learning & Data Science with Python | A-Z” course.

Do you know data science needs will create 11.5 million job openings by 2026?

Do you know the average salary is $100.000 fordata science careers!

Data Science Careers Are Shaping The Future

Data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. So data science careers are in high demand.

  • If you want to learn one of the employer’s most request skills?
  • If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?
  • If you are an experienced developer and looking for a landing in Data Science!

In all cases, you are at the right place!

We’ve designed for you “Complete Machine Learning & Data Science with Python | A-Z” a straightforward course for Python Programming Language and Machine Learning.

In the course, you will have down-to-earth way explanations with projects. With this course, you will learn machine learning step-by-step. I made it simple and easy with exercises, challenges, and lots of real-life examples.

We will open the door of the Data Science and Machine Learning a-z world and will move deeper. You will learn the fundamentals of Machine Learning A-Z and its beautiful libraries such as Scikit Learn.

Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms.

This Machine Learning course is for everyone!

My “Machine Learning with Hands-On Examples in Data Science” is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

Why we use a Python programming language in Machine learning?

Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.

What you will learn?

In this course, we will start from the very beginning and go all the way to the end of “Machine Learning” with examples.

Before each lesson, there will be a theory part. After learning the theory parts, we will reinforce the subject with practical examples.

During the course you will learn the following topics:

  1. What is Machine Learning?
  2. More About Machine Learning
  3. Machine Learning Terminology
  4. Evaluation Metrics
  5. What is Classification vs Regression?
  6. Evaluating Performance-Classification Error Metrics
  7. Evaluating Performance-Regression Error Metrics
  8. Machine Learning with Python
  9. Supervised Learning
  10. Cross-Validation and Bias Variance Trade-Off
  11. Use Matplotlib and seaborn for data visualizations
  12. Machine Learning with SciKit Learn
  13. Linear Regression Theory
  14. Logistic Regression Theory
  15. Logistic Regression with Python
  16. K Nearest Neighbors Algorithm Theory
  17. K Nearest Neighbors Algorithm With Python
  18. K Nearest Neighbors Algorithm Project Overview
  19. K Nearest Neighbors Algorithm Project Solutions
  20. Decision Trees And Random Forest Algorithm Theory
  21. Decision Trees And Random Forest Algorithm With Python
  22. Decision Trees And Random Forest Algorithm Project Overview
  23. Decision Trees And Random Forest Algorithm Project Solutions
  24. Support Vector Machines Algorithm Theory
  25. Support Vector Machines Algorithm With Python
  26. Support Vector Machines Algorithm Project Overview
  27. Support Vector Machines Algorithm Project Solutions
  28. Unsupervised Learning Overview
  29. K Means Clustering Algorithm Theory
  30. K Means Clustering Algorithm With Python
  31. K Means Clustering Algorithm Project Overview
  32. K Means Clustering Algorithm Project Solutions
  33. Hierarchical Clustering Algorithm Theory
  34. Hierarchical Clustering Algorithm With Python
  35. Principal Component Analysis (PCA) Theory
  36. Principal Component Analysis (PCA) With Python
  37. Recommender System Algorithm Theory
  38. Recommender System Algorithm With Python

With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.

When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.


You will be,

  • Seeing clearly
  • Hearing clearly
  • Moving through the course without distractions

You’ll also get:

  • Lifetime Access to The Course
  • Fast & Friendly Support in the Q&A section
  • Udemy Certificate of Completion Ready for Download
  • We offer full support, answering any questions.

If you are ready to learnthe “Complete Machine Learning & Data Science with Python | A-Z” course.

Dive in now! See you in the course!

Who this course is for:

  • Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone
  • Anyone who wants to start learning “Machine Learning”
  • Anyone who needs a complete guide on how to start and continue their career with machine learning
  • Software developer who wants to learn “Machine Learning”
  • Students Interested in Beginning Data Science Applications in Python Environment
  • People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
  • Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python