support-vector-regression
There are 191 repositories under support-vector-regression topic.
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
awerries/online-svr
Implementation of Accurate Online Support Vector Regression in Python.
Mostafa-Nafie/Head-Pose-Estimation
This project utilizes machine learning algorithms to find the direction in which a person is looking by using the face landmarks
jschiefner/photovoltaic-power-prediction
Photovoltaic power prediction based on weather data for my bachelor thesis
Nikronic/Machine-Learning-Models
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
shubhpawar/Automated-Essay-Scoring
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
howardyclo/NTHU-Machine-Learning
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
madsjulia/SVR.jl
Support Vector Regression for Unsupervised Machine Learning
goodday451999/Stock-Price-Prediction
Stock Price Prediction of any Organizations using SVR
Anindya-Das02/Comparison-of-ML-models-for-predicting-AQI
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
BanaanKiamanesh/DL-for-Navigation
Implementation of Regression Models on Navigation with IMUs.
marcelcases/calibration-sensors-machine-learning
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
fp2556/onlinesvr
Online Support Vector Machines for Regression
kushalshm1/Machine-Learning
Explanation of Mathematics used in Machine Learning Algorithms and some Projects
AbedMHroub/Corona-virus-COVID19-predictions-project
Predict using ML the number of infected people and the number of deaths of coronavirus.
atharva-hukkeri/Traffic-Prediction-using-Machine-Learning
The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.
Danfoa/parkinson-progression-prediction-with-speech-tests
Computer Intelligence subject final project at UPC.
huajh/Age_Estimation_via_fastAAMs
Age Estimation via fastAAMs
mahesh147/Support-Vector-Regression
A very basic Support Vector Regression model implemented in python
sid321axn/Udacity-MLND-Capstone-Gold-Price-Prediction
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
arnavgarg123/Bangladesh-Rainfall
Time Series data Analysis of Rainfall in Bangladesh
ghimohammadr/Metaheuristics_SVR
The performance of SVR models highly depends upon the appropriate choice of SVR parameters. Here, different metaheuristic algorithms are used to tune the hyperparameters.
gvndkrishna/Kaggle-House-Price-Prediction
My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.
lbrice1/FCSDAT
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
SamanKhamesian/Imputation-of-Missing-Values
This project is an implementation of hybrid method for imputation of missing values
dgrubis/NBA-Draft-Model-2018
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
saeedghoorchian/An-epsilon-SVR-Approach-for-Model-Identification
Using ε-Support Vector Regression (ε-SVR) for identification of Linear Parameter Varying (LPV) dynamical systems
shahriar-rahman/GHI-Assessment-using-SVR-and-BRR
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
kapilbhise/RUL-prediction-using-SVR
Remaining useful life (RUL) prediction of cutting tools is critical to effective condition based maintenance for reducing downtime, ensuring quality and avoiding accidents. we worked on a research paper to build a Machine Learning model for predicting the remaining useful life of cutting tools. Extracted different features from the dataset and developed an algorithm by using Support Vector Regression for the prediction of RUL.
pavankalyan1997/Machine-Learning-Using-Scikit-learn-and-other-libraries
Machine Learning algorithms implementation using Python
SuperKogito/predicting_stock_prices
Stock/cryptocurrency price prediction demo using machine learning library scikit-learn and support vector regression
uoe-agents/non_conventional_value_function_approximation
Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning