Full machine learning practical with R.

Includes the R code and the supporting materials for our paper "Using machine learning to identify nontraditional spatial dependence in occupancy data"

Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.

Implementing different flavors of Classification and Regression Machine Learning Algorithms on different datasets in the US region.

Regression Models (other than simple and multiple) using R

backup of my bachelor thesis scripts, electricity price forecasting

solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).

Particle Swarm Optimization-Based Hyperparameter Tuning for Support Vector Regression Models in Cerebral Autoregulation Analysis