regression-algorithms

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

SAG-KeLP/kelp-additional-algorithms

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

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