Table of Contents
Visualization¶
- Vizualizing tabular data (Python)
- Vizualising for predictive analytics (Python)
- Univariate Analysis (R)
- Multivariate Analysis (R)
- Multicollinearity (R)
Statistics basics¶
Hypothesis Testing¶
- z-test and t-test (R)
- ANOVA Test (R)
- Chi-Square Goodness of fit (R)
- Chi-Square test of independence (R)
Factor Analysis¶
Prediction algorithms¶
- Classification Algorithms
- Regression Algorithms
Preprocessing data¶
Machine Learning¶
- Interactive Machine Learning (RShiny)
- ML using scikit-learn (Python)
- Streaming Machine Learning (Python)
Time Series forecasting¶
- Introduction to stationarity (R)
- Stationary Tests (R)
- ARIMA in R
- ARIMA in Python
- Seasonal time series (R)
- VAR Models (R)
Deep learning¶
Generative AI¶
Prescriptive Analytics¶
- Linear Programming (R)
- Adoption of new product (R)
- Bass Forecasting model (Python)
- Analytic Hierarchy Process
Clustering¶
Reinforcement Learning¶
Networks¶
- Introduction to NetworkX (Python)
- Network Science (Python)
- Network Centrality (Python)
- Shortest path using integer programming (Python)
- Network flow problems (Python)
- Community detection (Python)
- Bipartite matching (Python)