Machine Learning Guide
Development
Start: 10/2022.
End: 06/2023.
Project description (Link to guide)
I made a machine learning guide that includes all stages of its development, main techniques and algorithms developed to date, as well as websites, codes and auxiliary tutorials. It has more than 300 pages, and can help you discover new tools and algorithms that you may never heard of before.
Chapters Include:
Ethics Concepts Pre-Processing Feature Selection Regression Classification Clusters Recommendation Time-Series Neural Networks Reinforcement Learning Ensemble Methods Explainable Models (XAI) AutoML Cost-Sensitive Learning Dimension Reduction Anomaly Detection Model Tuning Evaluation metrics Statistics Model Compression Python and R tools Storytelling with Data AI tools Tutorials, Courses, Code Examples, Books And more…
