Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur

Abhishek Thakur, a Data Scientist and the world’s first Quadruple Grandmaster on Kaggle, shares practical strategies for tackling real-world machine learning challenges. Unlike traditional textbooks, this book doesn’t dive deep into algorithms but instead focuses on when to use specific techniques and how to improve the performance of your models. Topics covered include: • Handling categorical variables • Feature engineering & feature selection • Hyperparameter optimization • Image and text problems • Deploying machine learning & deep learning models Whether you’re refining your ML skills or looking for guidance on practical problem-solving, this book provides hands-on insights to boost your projects. Publisher: Notion Press ISBN: 9788269211504 Perfect for data scientists, Kaggle enthusiasts, and anyone serious about advancing their machine learning expertise.