A complete guide that will help you get familiar with Machine Learning models, algorithms, and optimization techniques
746 215 4MB
English Pages 260 Year 2023
Table of contents :
1. Introduction to ML
2. Python Basics for ML
3. An Overview of ML Algorithms
4. Case Studies and Projects in Machine Learning
5. Optimization in ML Algorithms