Learning to create Machine Learning Algorithms

Implementation of Accurate Online Support Vector Regression in Python.

Photovoltaic power prediction based on weather data for my bachelor thesis

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

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

Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms

Implementation of Regression Models on Navigation with IMUs.

Computer Intelligence subject final project at UPC.

Datasets and code to accompany Briceno-Mena, Luis A. and Venugopalan, Gokul and Romagnoli, José A. and Arges, Christopher G., Machine Learning for Guiding High-Temperature PEM Fuel Cells with Greater Power Density. Available at https://www.cell.com/patterns/fulltext/S2666-3899(20)30257-9

A very basic Support Vector Regression model implemented in python

Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression

This project is an implementation of hybrid method for imputation of missing values

Stock/cryptocurrency price prediction demo using machine learning library scikit-learn and support vector regression

CSC522: Automated Learning & Data Analysis - Project

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

Reducing-power-requirement-of-LPWA-networks-via-machine-learning

machine learning regression

Least Squares Support Vector Regression with optimized hyperparameters

This toolbox offers 7 machine learning methods for regression problems.