# Data Science

Encompasses Data Science applications

This project is geared toward highlighting the theory and applications for popular traditional Data Science methods that you typically see taught in Undergraduate or Master/PHD programs. This Data Science Github encompasses the current methods I had completed.

Project currently supports the following implementations; Some of these projects are either in **R** or **Python.**

- ARIMA
- Bayesian Regression
- Data Imputations
- Data Wrangling
- GRU (Gated Recurrent Unit)
- KNN (K Nearest Neighbor)
- Linear Regression
- Logistic Regression
- Multiple Linear Regression
- Naive Bayes
- Principal Components
- RNN (Recurrent Neural Networks)
- Recommendation Systems
- Sampling Methods
- Visualizations in
**R** - XGBoost

Natural Language Processing: ** Python **