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)

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

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

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.

SVR for multidimensional labels

Multi-Objective Hybrid Autoscaing (MOHA)

Forecasting exchange rates by using commodities prices

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

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

R codes for common Machine Learning Algorithms

Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible interface.

Predicting the total incurred claim amount by the insurance holders in a vehicle insurance company using regression in python.

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

Enhancing GPS Positioning Accuracy Using Machine Learning

Data Science Project (Australian Electricity Load Dataset Analysis)

Path planning in aerial images using imitation learning

Hyper-parameter tuning of Time series forecasting models with Mealpy

Remaining Useful Life (RUL) prediction of Multi-Stiffener composite Panels from Single-Stiffener Panels histories using SVR and LSTM

Predict the compensation base on the position level using the SVR machine learning model.

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.