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