Learn scikit-learn
Curriculum
12 Topics- 01 Introduction and Environment Setup
- 02 Data Preprocessing and Exploration
- 03 Supervised Learning Fundamentals: Regression
- 04 Supervised Learning Fundamentals: Classification
- 05 Decision Trees and Ensemble Methods
- 06 Unsupervised Learning: Clustering
- 07 Dimensionality Reduction
- 08 Model Selection and Validation
- 09 Building Machine Learning Pipelines
- 10 Advanced Evaluation and Validation
- 11 Text Feature Extraction (NLP Basics)
- 12 Model Deployment and Persistence