- About Me
- Introduction to machine learning
- Supervised vs Unsupervised learning
- Setting up Environment
- Installing dependencies
- Setting up jupyter notebook
- Data Fetching
- Data Importing
- Introduction
- Data Exploration
- Numerical vs categorical data
- Descriptive Statistics and Inferential Statistics
- Data Visualization
- Handling Outliers
- Introduction
- Standarization and Normalization
- Handling Categorical data
- Handling Missing Values
- Introduction
- Type of Algorithms
- Model in Action
- Feature Selection
- Introduction
- Metrics for validation
- Trying Different Metrics
- Other Methods for Validation
- Overfit Vs. Underfit
- Methods to Improve Accuracy
- Hyperparameter Tuning
- Introduction
- Why Ensemble?
- Types of Ensembling Techniques
- Ensembling in Action
- Introduction
- Curse of Dimensionality
- Principal Component Analysis
- Outro