regression-algorithms
There are 595 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
egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners
ML-algorithms from scratch using Python. Classic Machine Learning course.
alessandroragano/scoreq
SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)
Bhardwaj-Saurabh/Machine_Learning_Specialization_AndrewNG_Coursera
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
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
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.
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
Ooples-Finance-LLC/AiDotNet
A new library for all of the newest ai algorithms
farhad-pourkamali/machine-learning
Slides and Python code examples for undergraduate machine learning
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
ahmetozlu/nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
chicago-joe/Python-ML-for-Financial-Applications
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
xinglab-ai/genomap
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
rasmodev/Time-Series-Forecasting---ML-Regression-Project
This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.
shridhar1504/Sales-Forecasting-Datascience-Project
Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
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
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
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.
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