- Data Central Tendency
- Clustering Algorithms: K-Means and Hierarchical
- Visual data exploration
- Basic Image Processing: EBImage Package
- Bike Sharing Clustering: K-Means (package used: cluster, factoextra, tidyverse, readxl)
- Bike Sharing: Network graph creation (igraph and NetworkD3)
- Bike Sharing: PCA and t-SNE
- Attrition using Naive Bayes
- Purchase Prediction (Regression)
- Image classification using Keras feature extraction
- Fruit Image Classification - Keras (R)
- Churn using Keras
- Sunspot Keras
- UCI Yacht
- Vendor Volume Analysis Code
- R helper functions
- Power Point updates using R
Image source: https://github.com/rasbt
