approachingalmost

This repository is the companion code for a book called "Approaching (Almost) Any Machine Learning Problem" written by Abhishek Thakur. The book is a guide for people who want to learn practical machine learning, walking through how to tackle a wide variety of problem types in a hands-on, code-along style.

The repository itself contains only supporting files, primarily a conda environment configuration that lets readers set up the same Python environment the author used while writing the book. The actual code from the book is not included here because, as the README explains, sharing the full code would effectively reproduce the book itself.

Datasets referenced in the book are hosted separately on Kaggle at a linked profile page. The README also notes a specific dataset for a medical imaging problem (pneumothorax detection) with a direct link.

The book is available for purchase in both black-and-white and color paperback editions. The README lists purchase links for multiple countries including India, the USA, the UK, Germany, France, Spain, Italy, Japan, and Canada. It also warns Indian buyers that counterfeit copies circulate on Amazon India, and recommends buying from Flipkart or the official publisher Pothi instead.

If you are not a reader of the book, there is little to use from this repository directly. It is primarily a place for readers to find the environment setup file and raise questions as GitHub issues.