regression-algorithms

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

java data-science machine-learning deep-learning neural-network cpp machine-learning-algorithms neuroscience artificial-intelligence data-structures knn regression-algorithms deep-learning-algorithm artificial-intelligence-algorithm

UpdatedOct 22, 2024
Jupyter Notebook

Bhardwaj-Saurabh /Machine_Learning_Specialization_AndrewNG_Coursera

Star82

This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.

machine-learning deep-learning random-forest regression xgboost classification-algorithm regression-algorithms desiciontree rando neaural-network

UpdatedJun 24, 2022
Jupyter Notebook

egaoharu-kensei /ML-algorithms-from-scratch.-Course-for-beginners

Star73

ML-algorithms from scratch using Python. Classic Machine Learning course.

python data-science machine-learning numpy svm scikit-learn pandas seaborn pca matplotlib boosting-algorithms lda knn regression-algorithms machine-learning-course clustering-algorithms stacking-blending machine-learning-algorithms-from-scratch decision-tree-cart bagging-and-random-forest

UpdatedOct 24, 2024
Jupyter Notebook

alessandroragano /scoreq

Star71

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

deep-learning speech speech-processing speech-analysis regression-algorithms

UpdatedJan 24, 2025
Python

Yi-Chen-Lin2019 /Predictive-maintenance-with-machine-learning

Star61

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

python machine-learning battery svm regression classification failure-detection svm-classifier tpot classification-algorithm automated-machine-learning anomaly-detection regression-algorithms industry-4 ball-bearing predictive-maintenance remaining-useful-life crisp-dm

UpdatedSep 29, 2022
Jupyter Notebook

closest-git /LiteMORT

Star58

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

machine-learning high-performance-computing gbdt data-mining-algorithms binary-classification gradient-boosting regression-algorithms

UpdatedMar 7, 2020
C++

codophobia /CricketScorePredictor

Star42

Using machine learning algorithms to predict first innings score in limited overs cricket matches

python machine-learning regression-algorithms cricket-prediction

UpdatedMar 9, 2019
Python

lalvim /PartialLeastSquaresRegressor.jl

Star41

Implementation of a Partial Least Squares Regressor

machine-learning julia machine-learning-algorithms julia-language regression multivariate-analysis partial-least-squares-regression pls regressor regression-algorithms regression-analysis leastsquares squares-regressor pls1 nipals pls-mlj-model linear-algorithm kernel-pls2

UpdatedJan 31, 2023
Julia

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

machine-learning machine-learning-algorithms python3 artificial-intelligence regression-models regression-algorithms lssvm

UpdatedMay 5, 2022
Jupyter Notebook

SanikaVT /Real-Estate

Star36

Machine learning Regression problem with easy understandable solutions

python regression-algorithms applied-machine-learning regression-problem

UpdatedJul 23, 2018
Jupyter Notebook

ikosmidis /brglm2

Star33

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

r statistics algorithms regression estimation rstats logistic-regression glm regression-algorithms bias-reduction nominal-responses ordinal-responses adjusted-score-equations bias-reducing-adjustments

UpdatedSep 12, 2024
R

vikrantarora25 /Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-

Star32

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…