regression-algorithms
There are 577 repositories under regression-algorithms topic.
anish-lakkapragada/SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
harunurrashid97/100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
yacineMahdid/artificial-intelligence-and-machine-learning
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Bhardwaj-Saurabh/Machine_Learning_Specialization_AndrewNG_Coursera
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
alessandroragano/scoreq
SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)
egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners
ML-algorithms from scratch using Python. Classic Machine Learning course.
Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
closest-git/LiteMORT
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
codophobia/CricketScorePredictor
Using machine learning algorithms to predict first innings score in limited overs cricket matches
DannyVanpoucke/LSSVMlib
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.
lalvim/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
SanikaVT/Real-Estate
Machine learning Regression problem with easy understandable solutions
ikosmidis/brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
tonio73/data-science
Notebooks and Python about data science
vikrantarora25/Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
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 validity.
ooples/AiDotNet
A new library for all of the newest ai algorithms
gregorLen/S-ANFIS-PyTorch
An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".
bulentsiyah/My-Studies-on-Kaggle
It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.
linesd/SSGPR
Sparse Spectrum Gaussian Process Regression
farhad-pourkamali/machine-learning
Slides and Python code examples for undergraduate machine learning
chicago-joe/Python-ML-for-Financial-Applications
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
ahmetozlu/nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
xinglab-ai/genomap
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
robotomize/regression-php
My implementation of the regression algorithms
alex-moreno/glitcherbot
Visual regression testing made easy. Automating the boring stuff
lucko515/regression-python
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
SyedMuhammadHamza/Hybrid-recommendation-system-web-application
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
Nishil07/Hands-on-Basics-of-Machine-Learning
This repository is for every beginner who just finished with the theoretical part of Machine Learning and wants to have a hands on experience of various kinds of algorithm and make predictions on a real time dataset.
drwuHUST/MBGD_RDA
Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."
nishitpatel01/predicting-age-of-abalone-using-regression
Predicting the age of abalone using multiple regression in R
abdurrahmanKhan/Kickstarter-Anticipator
The main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.
anjanatiha/Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
ldv1/bbvi_spike_and_slab
Black-box spike and slab variational inference, example with linear models
Sarvandani/Machine_learning-deep_learning_11_algorithms-of-regression
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge