Machine Learning and Statistical Learning with Python

This is the bite size course to learn Python Programming for Machine Learning and Statistical Learning.

In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

You will need to know some Python programming, and you can learn Python programming from my “Create Your Calculator: Learn Python Programming Basics Fast” course.  You will learn Python Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

I will create Applied statistics using Python for data understanding stage and advanced data visualizations for data understanding stage and includes some data processing for data preparation stage in future.


  1. Getting Started
  2. Getting Started 2
  3. Getting Started 3
  4. Getting Started 4
  5. Data Mining Process
  6. Download Data set
  7. Read Data set
  8. Simple Linear Regression
  9. Build Linear Regression Modela: Train and Test set
  10. Build and Predict Linear Regression Models
  11. KMeans Clustering
  12. KMeans Clustering in Python
  13. Agglomeration Clustering
  14. Agglomeration Clustering in Python
  15. Decision Tree ID3 ALgorithm
  16. Decision Tree in Python
  17. KNN Classification
  18. KNN in Python
  19. Naive Bayes Classification
  20. Naive Bayes in Python
  21. Neural Network Classification
  22. Neural Network in Python
  23. What Algorithm to Use?
  24. Model Evaluation
  25. Model Evaluation using Python for Classification
  26. Model Evaluation using Python for Regression
Machine Learning with Python
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Machine Learning with Python
USD 200
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