Аннотация
If you are already using Python for data analysis, just browse this book’s
table of contents. You will probably find a bunch of things that you wish
you knew how to do in Python. If so, feel free to turn directly to that chapter
and get to work. Each lesson is, as much as possible, self-contained.
![Machine Learning with Python Cookbook [Practical Solutions from Preprocessing to Deep Learning]](https://www.rulit.me/data/programs/images/machine-learning-with-python-cookbook-practical-solutions-fr_554389.jpg "This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading...")
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