Python code for common Machine Learning Algorithms

Photovoltaic power prediction based on weather data for my bachelor thesis

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

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.

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

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)

SVR for multidimensional labels

A research based project which uses steganography and ML/deep learning algorithm to reconstruct the lost audio signals from a corrupted file.

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.

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

Multi-Objective Hybrid Autoscaing (MOHA)

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

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

A python based project to predict the future prices of the top 10 trending cryptocurrencies using ML Algorithms like SVR, Decision Tree and LSTM with an interactive frontend using streamlit. Analysis using PowerBi and has DBMS connectivity.

Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems

R codes for common Machine Learning Algorithms

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