multiple-regression

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srafay /Machine_Learning_A-Z

Star393

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az

UpdatedJun 15, 2021
Python

dominance-analysis /dominance-analysis

Star167

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square

UpdatedAug 17, 2023
Python

agrawal-priyank /machine-learning-regression

Star95

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

python machine-learning linear-regression coursera gradient-descent ridge-regression polynomial-regression university-of-washington house-price-prediction multiple-regression machine-learning-regression

UpdatedDec 8, 2023
Jupyter Notebook

EvanDietrich /Quant-Finance-Projects

Star86

Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.

linear-regression variance regression-models multiple-regression regression-analysis instability deviations market-analytics quant-finance

UpdatedAug 29, 2020
Jupyter Notebook

hunar4321 /RLS-neural-net

Star58

Recursive Leasting Squares (RLS) with Neural Network for fast learning

machine-learning neural-network artificial-intelligence kalman-filter multiple-regression regression-analysis recursive-least-squares oneshotlearning oneshot-learning

UpdatedNov 16, 2023
Jupyter Notebook

vsoch /regression-wasm

Sponsor

Star33

Testing doing basic regression with web assembly

golang linear-regression wasm web-assembly multiple-regression

UpdatedJan 28, 2021
Go

ditikrushna /Predict-Sales-Revenue-Using-Multiple-Regression-Model

Star25

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spen…

data-science seaborn regression-models multiple-regression multiple-regression-analysis

UpdatedJun 9, 2020
Jupyter Notebook

MobinaMhr /Artificial-Intelligence-Course-F2024

Star17

Genetic Algorithm, Curve Fitting, Reinforcement Learning, Iteration Value, Iteration Policy, FrozenLake-v1 Environment, Q-Learning, Hidden Markov Models, ML, Linear Regression, Multiple Regression, Classification, Decision Tree, K-Nearest Neighbors, Logistic Regression, Optimization, Random Forest, Gradient Boosting, XGBoost Classifier

random-forest optimization linear-regression ml q-learning curve-fitting classification rl logistic-regression genetic-algorithms knn decision-tree gradient-boosting multiple-regression hmms xgboost-classifier iteration-value iteration-policy frozenlake-v1-environment

UpdatedJul 31, 2024
HTML

Amitha353 /Machine-Learning-Regression

Star17

Machine-Learning-Regression

cross-validation nearest-neighbor-search gradient-descent polynomial-regression loss-functions kernel-regression lasso-regression coordinate-descent multiple-regression overfitting simple-linear-regression ridge-regre bias-variance-tradeoff generalization-error coefficient-path

UpdatedSep 29, 2020
Jupyter Notebook

hoangsonww /FRED-Data-Analysis

Star13

💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

react data-science data typescript chartjs regression data-visualization fred gemini openai data-analytics data-analysis logistic-regression pinecone multiple-regression fred-api vector-database anthropic claude-ai google-generative-ai

UpdatedDec 10, 2025
TypeScript

Lunarestia /MAT243-Applied-Statistics-for-STEM-I

Star7

PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

python statistics linear-regression jupyter-notebook python-script regression python-3 regression-testing regression-tests regression-models multiple-regression regression-analysis multiple-linear-regression

UpdatedMar 22, 2020
HTML

hunar4321 /multiple-regression

Star3

A simple intuitive method for multiple regression

python machine-learning numpy linear-regression regression predictive-modeling multiple-regression

UpdatedAug 22, 2023
Jupyter Notebook

BradyFisher /R-Projects

Star3

A collection of some of my R Projects

r variable-selection r-markdown anova multiple-regression two-sample-t-test simple-regression multiple-logistic-regression simple-logistic-regression

UpdatedApr 7, 2023

cgatama /7-Data-Analysis-with-Python

Star3

Data analysis with Python to building and evaluating data models.

numpy linear-regression scikit-learn exploratory-data-analysis scipy polynomial-regression data-pipelines multiple-regression machine-learning-regression pandas-library importing-and-cleaning-data formatting-data model-refinement preparing-data collecting-data summarizing-data dataframe-manipulation

UpdatedDec 20, 2022
Jupyter Notebook

danielvartan /linear-models

Sponsor

Star2

🐧🧊 General Linear Models Using Penguins

penguins data-visualization data-analysis r-programming multiple-regression statistical-modeling penguin-statistics general-linear-models palmer-archipelago

UpdatedMay 21, 2025
TeX

vjgpt /Housing-Prices-Competition-Kaggle

Star2

Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.

machine-learning housing-prices feature-engineering regression-models model-analysis model-comparison multiple-regression

UpdatedAug 28, 2018
Jupyter Notebook

KhushiBhadange /Regression-Models

Star2

In this repository, delve into the realm of regression modeling featuring an array of algorithms applied to diverse datasets. Explore the strengths and nuances of different regression techniques, providing a comprehensive overview for anyone interested in predictive modeling.

linear-regression regression feature-selection feature-engineering predictive-modeling polynomial-regression regression-models multiple-regression machine-learning-regression regression-analysis regression-technique predictive-modeling-techniques data-science-regression

UpdatedDec 18, 2023
Jupyter Notebook

griffinbran /Real-Estate-Statistical-Modeling

Star2

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

sklearn cross-validation outlier-detection feature-engineering hypothesis-testing linear-models multiple-regression correlation-analysis p-values kaggle-submission one-hot-encoding imputed-values

UpdatedSep 29, 2021
Jupyter Notebook

udialter /equivalence-testing-multiple-regression

Star2

I constructed a simulation study to evaluate the statistical performance of two equivalence-based tests and compared it to the common, but inappropriate, method of concluding no effect by failing to reject the null hypothesis of the traditional test. I further propose two R functions to supply researchers with open-access and easy-to-use tools …

psychology multiple-regression quantitative-methods null-hypothesis quantitative-psychology equivalence-testing