approaching (almost) any machine learning problem pdf github

eBook: Approaching (Almost) Any Machine Learning Problem by Abhisek Thakur

What Makes This eBook Different:

This is an hands on book and not a theory book as already mentioned by author.The points that make this book different

1. Using comprehensive code with good explanation and all necessary comments

2. Not using standard dataset like iris cars etc and utilising bigger Datasets from kaggle

3. Touching almost everything that you encounter while building a model. Also adding on touching distributing your model using flask and docker

4. Covers NLP too including transformers which many of starting ML books choose to ignore.
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