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I'm looking for a data science book that covers statistics, probabilities, machine learning, and includes exercises for practice. I believe that having exercises will greatly help in understanding and applying the concepts.

Can anyone recommend a book that covers:

  1. Basics of statistics and probabilities
  2. Different machine learning algorithms
  3. Real-world applications Exercises with solutions
  4. Etc.

I've searched for resources but haven't found one that fits all these criteria. Any suggestions would be much appreciated!

Thank you

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It doesn't cover statistics and probability, but this book does a great intro job of covering many of the basic problems of machine learning and real-world exercises in scikit-learn and tensorflow. There is a github here that is regularly updated.

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