Statistical Models

Regression, mixture, Markov and machine learning models, and the data science tools used to fit them.

Regression

• Regression Analysis
• Linear Regression
• Simple Linear Regression
• Multiple Linear Regression
• Generalized Linear Models
• Logistic Regression
• Poisson Regression

Classification and Machine Learning

• Classification
• Neural Networks
• Deep Generative Modeling (DGM)

Latent and Markov Models

• Independent Mixture Models
• Dependent Mixture Models
• Hidden Markov Models
• Markov Models
• Space Time Modeling

Bayesian Computation

• Markov Chain Monte Carlo (MCMC) Methods
• Metropolis-Hastings Algorithm
• Hamiltonian Monte-Carlo

Data Science

• Data Science Fundamentals
• Data Structure
• Data Visualization
• Exploratory Data Analysis
• Python
• Getting Started with Python

Backlinks

• Exploratory Data Analysis
• Multiple Linear Regression
• Space Time Modeling
• Topics
• Topics