Awesome

If you like the book, please consider writing a review on Google/Amazon/Goodreads 🙂

Please Note: If you are buying the paperbook book in India from Amazon India to show your support to the author, you are most-likely buying a counterfeit copy and supporting the sellers selling these illegal copies. In India, please buy from Flipkart (https://www.flipkart.com/approaching-almost-any-machine-learning-problem/p/itm319d050de2fbb) or from Pothi (official publisher): https://store.pothi.com/book/abhishek-thakur-approaching-almost-any-machine-learning-problem/

All datasets have references in the book. They are also uploaded here: https://www.kaggle.com/abhishek/aaamlp

pneumothorax png: https://www.kaggle.com/abhishek/siim-png-images

If you are missing something, please feel free to open an issue.

Environment file is shared.

The code from book is not shared as its more of a code-along book. Sharing code means creating a copy of book.

If you have any questions, please create an issue.

You can buy the book via these links:

INDIA: https://bit.ly/aamlpothi

USA: https://www.amazon.com/dp/8269211508

UK: https://www.amazon.co.uk/dp/8269211508

Germany: https://www.amazon.de/dp/8269211508

France: https://www.amazon.fr/dp/8269211508

Spain: https://www.amazon.es/dp/8269211508

Italy: https://www.amazon.it/dp/8269211508

Japan: https://www.amazon.co.jp/dp/8269211508

Canada: https://www.amazon.ca/dp/8269211508

COLOR Version of the book can be bought here:

INDIA: https://store.pothi.com/book/abhishek-thakur-approaching-almost-any-machine-learning-problem-colour-version/

USA: https://www.amazon.com/dp/B08DC3ZFZZ

UK: https://www.amazon.co.uk/dp/B08DC3ZFZZ

Japan: https://www.amazon.co.jp/dp/B08DC3ZFZZ

Germany: https://www.amazon.de/dp/B08DC3ZFZZ

France: https://www.amazon.fr/dp/B08DC3ZFZZ

Italy: https://www.amazon.it/dp/B08DC3ZFZZ

Spain: https://www.amazon.es/dp/B08DC3ZFZZ

Canada: https://www.amazon.ca/dp/B08DC3ZFZZ

If you face problems with the environment files, please try the following instead

delete the ml enviornment that was created earlier: conda env remove --name ml

create a new environment: conda create -n ml python=3.7.6

activate the environment: conda activate ml

install python packages: pip install -r requirements.txt