regression-algorithms

There are 6 repositories under regression-algorithms topic.

anish-lakkapragada / SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
machine-learning python data-science machine-learning-python data-analysis modeling neural-networks k-nearest-neighbors unsupervised-learning dbscan-clustering kmeans-clustering regression-algorithms batch-normalization algorithms
Language:Python 333
100-Days-Of-ML-Code
harunurrashid97 / 100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
machine-learning python eda vizualization 100daysofmlcode datascience tutorials siraj-raval-challenge machine-learning-algorithms infographics 100-days-of-code implementation regression-algorithms exploratory-data-analysis data-science data-preprocessing decision-tree textsummarization linear-regression article
Language:Jupyter Notebook 209
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
neuroscience machine-learning-algorithms machine-learning data-science data-structures artificial-intelligence deep-learning neural-network regression-algorithms artificial-intelligence-algorithm deep-learning-algorithm knn java cpp
Language:Jupyter Notebook 156
closest-git / LiteMORT
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
gbdt gradient-boosting machine-learning data-mining-algorithms binary-classification regression-algorithms high-performance-computing
Language:C++ 56
Bhardwaj-Saurabh / Machine_Learning_Specialization_AndrewNG_Coursera
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
deep-learning desiciontree machine-learning neaural-network rando random-forest regression xgboost classification-algorithm regression-algorithms
Language:Jupyter Notebook 44
codophobia / CricketScorePredictor
Using machine learning algorithms to predict first innings score in limited overs cricket matches
cricket-prediction machine-learning python regression-algorithms
Language:Python 39
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.
machine-learning machine-learning-algorithms regression-models lssvm python3 artificial-intelligence regression-algorithms
Language:Jupyter Notebook 37
lalvim / PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
partial-least-squares-regression regression regression-analysis regression-algorithms machine-learning machine-learning-algorithms regressor multivariate-analysis julia-language julia leastsquares pls squares-regressor pls1 nipals pls-mlj-model linear-algorithm kernel-pls2
Language:Julia 37
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.
machine-learning predictive-maintenance python automated-machine-learning anomaly-detection remaining-useful-life failure-detection industry-4 ball-bearing battery svm svm-classifier tpot classification regression classification-algorithm regression-algorithms crisp-dm
Language:Jupyter Notebook 33
SanikaVT / Real-Estate
Machine learning Regression problem with easy understandable solutions
applied-machine-learning regression-algorithms python regression-problem
Language:Jupyter Notebook 31
data-science
tonio73 / data-science
Notebooks and Python about data science
datascience regression-algorithms classification-algorithm linear-regression tensorflow-tutorials keras knn-classification
Language:Jupyter Notebook 30
ikosmidis / brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
estimation algorithms r bias-reduction glm rstats regression-algorithms regression statistics logistic-regression nominal-responses ordinal-responses adjusted-score-equations bias-reducing-adjustments
Language:R 28
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.
regression regression-analysis regression-models linear-regression regression-algorithms cross-validation kfold-cross-validation recursive-algorithm recursive-feature-elimination rfe seaborn machine-learning data-science matplotlib outlier-detection outlier-removal sklearn scikit-learn python price-prediction
Language:Jupyter Notebook 27
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.
kaggle time-series semantic-segmentation opencv-python siamese-network one-shot-learning clustering-algorithm classification-algorithm regression-algorithms visualizations machine-learning deep-learning
Language:Jupyter Notebook 22
linesd / SSGPR
Sparse Spectrum Gaussian Process Regression
ssgpr sparse-spectrum-gaussian-processes gaussian-processes gaussian-process-regression regression machine-learning optimization predictive-modeling prediction conjugate-gradient minimize minimization regression-algorithms regression-models sparse-spectrum-gaussian-process
Language:Python 17
chicago-joe / Python-ML-for-Financial-Applications
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
python machine-learning classification regression data-science data-analysis machine-learning-algorithms scikit-learn financial-engineering financial-markets machinelearning-python classification-algorithm classification-trees classification-model regression-algorithms regression-models regression-trees ensemble-learning hyperparameter-tuning feature-extraction
Language:Python 16
robotomize / regression-php
My implementation of the regression algorithms
regression regression-algorithms regression-php math math-library linear-regression power-regression exponential logarithmic-regression
Language:PHP 16
ahmetozlu / nonlinear_regression_keras
Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.
deep-learning keras machine-learning neural-networks non-linear-regression non-linear-regression-keras nonlinear-regression-keras regression-algorithms regression-analysis regression-keras regression-model regression-tensorflow tensorflow
Language:Jupyter Notebook 15
alex-moreno / glitcherbot
Visual regression testing made easy. Automating the boring stuff
regression-algorithms regression-analysis regression-testing
Language:PHP 15
farhad-pourkamali / machine-learning
Slides and Python code examples for undergraduate machine learning
machine-learning data-science classification-algorithims clustering regression-algorithms
Language:Jupyter Notebook 15
lucko515 / regression-python
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
machine-learning machine-learning-algorithms regression-models regression regression-algorithms
Language:Jupyter Notebook 15
ooples / AiDotNet
A new library for all of the newest ai algorithms
ai algorithm algorithms algos csharp csharp-library machine-learning machine-learning-algorithms machinelearning regression regression-algorithms regression-analysis regression-models aidotnet csharp-code dotnet neural-network neural-networks
Language:C# 15
SAG-KeLP / kelp-additional-algorithms
machine-learning learning-algorithm linear-learning-algorithm batch-learning-algorithms regression-algorithms classification online-learning-algorithms
Language:Java 15
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".
anfis anfis-network machine-learning pytorch pytorch-implementation regression-algorithms
Language:Python 14
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.
python3 clustering-algorithm classification-algorithm regression-algorithms data-science machine-learning-algorithms beginner numpy
Language:Jupyter Notebook 14
nishitpatel01 / predicting-age-of-abalone-using-regression
Predicting the age of abalone using multiple regression in R
r regression regression-analysis abalone rmarkdown regression-algorithms linear-regression multilinear-regression
13
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
recommendation-system recommendation-systems regression-algorithms machine-learning flask-application heroku-deployment
Language:Jupyter Notebook 13
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.
logistic-regression regression regression-algorithms regression-analysis
Language:Jupyter Notebook 12
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."
fuzzy-systems machine-learning regression-algorithms
Language:MATLAB 12
LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
feature-selection random-forest exploratory-data-analysis feature-engineering decisiontree gradient-boosting adaboost bagging knn-regression support-vector-regression ensemble-machine-learning kfold-cross-validation bootstrap supervised-learning supervised-machine-learning regression-algorithms
Language:Jupyter Notebook 11
ldv1 / bbvi_spike_and_slab
Black-box spike and slab variational inference, example with linear models
machine-learning-algorithms spike-and-slab-prior regression-algorithms variational-inference gumbel-softmax sparse-regression python3 stochastic-gradient-descent
Language:Python 11
anjanatiha / Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data
Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]
machine-learning prediction-algorithm regression-algorithms predictive-modeling regression-models revenue-prediction rating-prediction movie-revenue movie-ratings movie-rating-prediction
Language:Jupyter Notebook 10
xinglab-ai / genomap
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
bioinfomatics-pipeline bioinformatics bioinformatics-tool deep-learning genomic-data-analysis genomics genomics-visualization single-cell tabular-data biomarker-discovery biomarkers classification-algorithm data-classification multi-omic-integration regression-algorithms trajectory-inference visualization cell-annotation
Language:Python 9
IvanVigor / Local-Fusion-Dynamic-Weighted-Ensemble
This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.
anomaly-detection ensemble-machine-learning nuclear python regression-algorithms time-series wind
Language:Python 8
saeedahmadicp / numerical_optimization_of_ai
Numerical techniques for optimization of artificial Intelligence
artificial-intelligence interpolation-methods linear-algebra numerical-differentiation numerical-integration numerical-methods numerical-optimization regression-algorithms root-finding-methods collaborate github-codespaces learn
Language:Jupyter Notebook 8
vidhi0511 / ms-engage-segmently
Microsoft Engage 2022 | Data Analysis Application
data-analysis microsoft-engage-2022 angular jupyter-notebook microsoft-engage ms-engage ms-engage-22 python regression-algorithms
Language:Jupyter Notebook 8

regression-algorithms

anish-lakkapragada / SeaLion

harunurrashid97 / 100-Days-Of-ML-Code

yacineMahdid / artificial-intelligence-and-machine-learning

closest-git / LiteMORT

Bhardwaj-Saurabh / Machine_Learning_Specialization_AndrewNG_Coursera

codophobia / CricketScorePredictor

DannyVanpoucke / LSSVMlib

lalvim / PartialLeastSquaresRegressor.jl

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

SanikaVT / Real-Estate

tonio73 / data-science

ikosmidis / brglm2

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

bulentsiyah / My-Studies-on-Kaggle

linesd / SSGPR

chicago-joe / Python-ML-for-Financial-Applications

robotomize / regression-php

ahmetozlu / nonlinear_regression_keras

alex-moreno / glitcherbot

farhad-pourkamali / machine-learning

lucko515 / regression-python

ooples / AiDotNet

SAG-KeLP / kelp-additional-algorithms

gregorLen / S-ANFIS-PyTorch

Nishil07 / Hands-on-Basics-of-Machine-Learning

nishitpatel01 / predicting-age-of-abalone-using-regression

SyedMuhammadHamza / Hybrid-recommendation-system-web-application

abdurrahmanKhan / Kickstarter-Anticipator

drwuHUST / MBGD_RDA

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

ldv1 / bbvi_spike_and_slab

anjanatiha / Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data

xinglab-ai / genomap

IvanVigor / Local-Fusion-Dynamic-Weighted-Ensemble

saeedahmadicp / numerical_optimization_of_ai

vidhi0511 / ms-engage-segmently