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