machine learning: logistic regression
machine learning: logistic regression
machine learning: logistic regression

About the Book

This cheat sheet offers to you the followings:

  • a nice introduction to machine learning in general and logistic regression algorithm in particular,
  • after that we will show you why we need this algorithm and it's history,
  • after this we will going sort of deep with it's theory to ensure your fully understanding this algorithm and how to evaluate it's process,
  • after finishing the mathematics part we will show you how to implement this algorithm from scratch and how to use scikit-learn library implementation and
  • at last we will build some projects to make sure you get your hand dirty.

After you are going along with this list, i am sure you will get a lot of experience if you are not familiar with this algorithm, and refresh your knowledge if you are expert engineer.

About the Author

Hisham El-Amir
Hisham El-Amir

Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

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