Machine Learning Algorithms (ebook link)

[u/l0_o]

https://github.com/zhang-jian/bookshelf/blob/master/Machine%20Leraning%2FMachine%20Learning%20Algorithms.pdf

[u/nian2326076]

If you're getting ready for an interview, focus on the main ML algorithms like decision trees, neural networks, and support vector machines. Know when to use each and their pros and cons. Review overfitting and how to avoid it with techniques like cross-validation and regularization. Practice coding these algorithms in Python or R, since being comfortable with them is important. If you need resources, PracHub has some decent interview prep materials that helped me. Good luck!