support-vector-regression
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Learning to create Machine Learning Algorithms
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Jun 15, 2021 - Python
Implementation of Accurate Online Support Vector Regression in Python.
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Jun 17, 2019 - Python
This project utilizes machine learning algorithms to find the direction in which a person is looking by using the face landmarks
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Jul 10, 2022 - Jupyter Notebook
Photovoltaic power prediction based on weather data for my bachelor thesis
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Apr 30, 2021 - Python
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Nov 7, 2021 - Python
Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle
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Apr 26, 2018 - Jupyter Notebook
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
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Feb 14, 2024 - Python
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
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Jun 20, 2017 - Python
Support Vector Regression for Unsupervised Machine Learning
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Jan 17, 2025 - C++
Stock Price Prediction of any Organizations using SVR
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Sep 20, 2019 - Jupyter Notebook
Implementation of Regression Models on Navigation with IMUs.
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Aug 23, 2022 - Python
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May 13, 2020 - Jupyter Notebook
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
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Apr 18, 2022 - Python
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Oct 26, 2019 - Jupyter Notebook
The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.
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Aug 20, 2022 - Jupyter Notebook
Explanation of Mathematics used in Machine Learning Algorithms and some Projects
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Jul 19, 2018 - Jupyter Notebook
Online Support Vector Machines for Regression
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Dec 30, 2019 - C++
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
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Feb 6, 2019 - Jupyter Notebook
Computer Intelligence subject final project at UPC.
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Jan 28, 2020 - Python
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 athttps://www.cell.com/patterns/fulltext/S2666-3899(20)30257-9
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Oct 17, 2022 - Python
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