Python code for common Machine Learning Algorithms

This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)

The R package for SVM with GPU architecture based on the GTSVM software

Based on the SVR interpolation, a new method about the time-varying channel estimation of FBMC is proposed.

NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.

A spherical volume rendering algorithm that performs ray casting through a spherical voxel grid.

We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.

Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.

R codes for common Machine Learning Algorithms

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

Photovoltaic power prediction based on weather data for my bachelor thesis

Multi-Objective Hybrid Autoscaing (MOHA)

Developed the Health insurance cost prediction web application using Python,Pandas,GradientBoostingRegressor,Joblib,Tkinter and Streamlit in which the customer can enter the features value in web app like age,sex,children,smoker(yes/no),region then the model will predict the insurance cost

lsgkm+gkmexplain with regression functionality. Builds off kundajelab/lsgkm (which has gkmexplain), which in turn builds off Dongwon-Lee/lsgkm (the original lsgkm repo)

Forecasting exchange rates by using commodities prices

The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.

A Python-based ML algorithm for the Gibbs free enegy of various intermediates on single atom catalysts

Common Machine Learning Examples 💻