All Categories
"What I cannot create, I do not understand" - Richard FeynmanThis book is your guide on your journey to deeper Machine Learning understanding by developing algorithms from scratch.But why this book?- Step-by-step guide on how to approach, visualize and solve data science problems- Learn why and when Machine Learning is the right tool for the job- Learn how to process CSV, text, and image data- Develop Linear Regression, Logistic Regression, Decision Tree, Neural Network, and other models. Use your models to solve real-world problems.- Find how to improve low performing models- Learn how to use Python libraries like NumPy, Pandas, Seaborn and more- Complete source code (notebooks) that works and runs in the cloud