Course introduction – Supervised machine learning in Python

I’ve just released a new online course! It’s about Supervised Machine Learning in Python and it’s a video course made by 10+ hours of video lessons with theoretical focuses and practical examples in Python programming language.

In this course, I focus on several types of models, feature selection, cross-validation, hyperparameter tuning and dimensionality reduction. Every lesson starts with a theoretical introduction that is followed by a practical example in Python.

Join my course now!

Order my book on pre-processing!

In this book, I show the practical use of Python programming language to perform pre-processing tasks in machine learning projects.

  • Data cleaning
  • Encoding of the categorical variables
  • Principal Component Analysis
  • Scaling
  • Binning
  • Power transformations
  • Feature selection
  • SMOTE

Available in paperback and eBook formats.

Take a look at my video introduction:

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