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Supervised Machine Learning
Уроки21 урок
- 1Machine Learning (ML) - Course Announcement
- 2Introduction to Machine Learning
- 3History of Machine Learning
- 4Well-Defined Learning Problem
- 5Machine Learning Model
- 6Dataset Fundamentals
- 7Data Splitting
- 8Performance Concepts in Machine Learning
- 9Machine Learning Pipeline
- 10Problem Definition and Data Collection in ML
- 11Data Cleaning in ML
- 12Train-Test Split in ML
- 13Data Preprocessing in ML
- 14Data Preprocessing in ML - Practical
- 15Feature Engineering in ML
- 16Selecting a Machine Learning Algorithm
- 17Training a Machine Learning Model
- 18Model Evaluation in Machine Learning
- 19Saving Machine Learning Pipeline
- 20Making Predictions using ML Model
- 21Supervised Machine Learning