multiple-regression

There are 1 repository under multiple-regression topic.

srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 393
dominance-analysis / dominance-analysis
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.
classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value
Language:Python 165
agrawal-priyank / machine-learning-regression
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
linear-regression multiple-regression house-price-prediction ridge-regression polynomial-regression gradient-descent python machine-learning machine-learning-regression coursera university-of-washington
Language:Jupyter Notebook 94
EvanDietrich / Quant-Finance-Projects
Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
linear-regression regression-analysis instability regression-models deviations variance market-analytics multiple-regression quant-finance
Language:Jupyter Notebook 84
hunar4321 / RLS-neural-net
Recursive Leasting Squares (RLS) with Neural Network for fast learning
neural-network machine-learning oneshot-learning oneshotlearning kalman-filter artificial-intelligence multiple-regression recursive-least-squares regression-analysis
Language:Jupyter Notebook 56
vsoch / regression-wasm
Testing doing basic regression with web assembly
golang linear-regression multiple-regression wasm web-assembly
Language:Go 33
hoangsonww / FRED-Data-Analysis
💸 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.
anthropic claude-ai data data-analysis data-analytics data-science data-visualization fred fred-api gemini google-generative-ai logistic-regression multiple-regression openai pinecone react regression typescript vector-database chartjs
Language:TypeScript 26
ditikrushna / Predict-Sales-Revenue-Using-Multiple-Regression-Model
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 spending through media such as TV, radio, and newspaper.
data-science regression-models multiple-regression multiple-regression-analysis seaborn
Language:Jupyter Notebook 24
Amitha353 / Machine-Learning-Regression
Machine-Learning-Regression
simple-linear-regression multiple-regression gradient-descent coordinate-descent ridge-regre lasso-regression nearest-neighbor-search kernel-regression loss-functions bias-variance-tradeoff cross-validation generalization-error overfitting coefficient-path polynomial-regression
Language:Jupyter Notebook 17
Lunarestia / MAT243-Applied-Statistics-for-STEM-I
PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)
python python-3 python-script statistics jupyter-notebook regression-models regression-analysis regression-testing regression-tests regression multiple-regression multiple-linear-regression linear-regression
Language:HTML 7
BradyFisher / R-Projects
A collection of some of my R Projects
anova multiple-logistic-regression multiple-regression r r-markdown simple-logistic-regression simple-regression two-sample-t-test variable-selection
3
cgatama / 7-Data-Analysis-with-Python
Data analysis with Python to building and evaluating data models.
collecting-data data-pipelines exploratory-data-analysis formatting-data importing-and-cleaning-data linear-regression machine-learning-regression model-refinement multiple-regression numpy pandas-library polynomial-regression preparing-data scikit-learn scipy summarizing-data dataframe-manipulation
Language:Jupyter Notebook 3
hunar4321 / multiple-regression
A simple intuitive method for multiple regression
linear-regression machine-learning multiple-regression numpy predictive-modeling python regression
Language:Jupyter Notebook 3
danielvartan / linear-models
🐧🧊 General Linear Models Using Penguins
data-analysis data-visualization general-linear-models multiple-regression penguin-statistics penguins r-programming statistical-modeling palmer-archipelago
Language:TeX 2
Real-Estate-Statistical-Modeling
griffinbran / Real-Estate-Statistical-Modeling
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.
kaggle-submission correlation-analysis feature-engineering sklearn p-values cross-validation hypothesis-testing one-hot-encoding multiple-regression linear-models imputed-values outlier-detection
Language:Jupyter Notebook 2
ML_Regression
jeremywood-ai / ML_Regression
Examples of Machine Learning Regression Models Built in Python and R
python3 r regression-models machine-learning svm multiple-regression decision-tree
Language:Python 2
KhushiBhadange / Regression-Models
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.
feature-engineering feature-selection linear-regression machine-learning-regression multiple-regression polynomial-regression predictive-modeling predictive-modeling-techniques regression regression-analysis regression-models regression-technique data-science-regression
Language:Jupyter Notebook 2
udialter / equivalence-testing-multiple-regression
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 that they can flexibly adopt in their own research.
psychology quantitative-methods multiple-regression equivalence-testing null-hypothesis quantitative-psychology
2
vjgpt / Housing-Prices-Competition-Kaggle
Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.
feature-engineering regression-models housing-prices model-analysis model-comparison multiple-regression machine-learning
Language:Jupyter Notebook 2
acanacar / DataScienceOverHood
DataScienceOverHood
python3 rnn keras ridge-regression bayesian-regression ols-regression regression-models house-price-prediction deep-neural-networks multiple-regression
Language:Jupyter Notebook 1
AprajitaChhawi / Data-Science
Data Science from the very basics along with some projects
linear-regression multiple-regression data-science scikit-learn enclosing-data market-basket-analysis logistic-regression
Language:Jupyter Notebook 1
david-fried / Investigating_Chicago_Crime
Investigated the influence of economic, birth, and health factors on Chicago neighborhood homicide rates using correlation, simple regression, and multiple regression analyses. Created a heatmap to visualize differences in homicide rates between Chicago neighborhoods.
3d-visualization matplotlib pandas python3 numpy multiple-regression jupyter-notebook api gmaps-api chicago-neighborhoods neighborhood-homicide neighborhood-crime-heatmap
Language:Jupyter Notebook 1
geethanjali-2003 / Red_Wine_Quality_SDA_Project
data-analysis multiple-regression r-script hypothesis-testing
Language:R 1
Gkontopodis / Regression-Modelling-in-Practice
Wesleyan University
python linear-regression multiple-regression logistic-regression
Language:Python 1
Hariharan-SV / Futurist
Used Car Price Prediction Package
machine-learning car-price-prediction multiple-regression random-forest python colab-notebook
Language:Jupyter Notebook 1
iamkotwala / DataScience
A repo for all my Data-Science ipynbs. Helpful for someone who wants to start with the basics of Data Science (Stats, ML, DL)
data-science statsmodels multiple-regression kmeans-clustering neural-network tensorflow2
Language:Jupyter Notebook 1
jianwenwu / STAT-72456-Statistical-Learning-2018
multiple-regression
Language:Jupyter Notebook 1
jiheon788 / agricultural-price-forecasting-model
아주대학교 2021-2 비즈니스 애널리틱스 프로젝트
random-forest machine-learning data-visualization eda lstm multiple-regression prophet vectorautoregression
Language:Jupyter Notebook 1
kamlesh0928 / machine-learning
This repository contains machine learning algorithms implemented from scratch and using scikit-learn, covering classification, regression, and clustering. Each algorithm is well-documented, with clear code and explanations. To use K-Medoids, install sklearn_extra via pip install scikit-learn-extra. Contributions are welcome!
decision-tree-classifier linear-regression logistic-regression multiple-regression naive-bayes-classifier dbscan-clustering hierarchical-clustering kmeans-clustering kmedoids-clustering knn-classifier lda pca polynomial-regression support-vector-machine
Language:Python 1
NathanP23 / Regression-and-Statistical-Models-52571
Content of the course "Regression and Statistical Models (52571)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.
academic-project analysis-of-variance anova confidence-interval dummy-variables huji hypothesis-testing linear-regression logistic-regression mixed-models model-selection multiple-regression r random-effects regression residual-analysis statistical-inference statistics
Language:Jupyter Notebook 1
Ranjitkumarsahu1436 / Multiple-Regression
Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable)
explanatory-variables independent-variables matplotlib multiple-regression regression visualization
Language:Jupyter Notebook 1
rerp
sjburwell / rerp
Compute regression event-related potentials ("rERPs") which account for hypothetical overlap among brain processes accompanying temporally adjacent cognitive events (e.g., stimulus and response).
eeg-analysis electroencephalogram multiple-regression
Language:MATLAB 1
sndrake / StatsWorkshop
Workshop on two-way ANOVA and multiple regression in R, presented at the SLAT Roundtable on Feb. 8-9, 2019.
statistical-analysis psycholinguistics anova regression multiple-regression r
Language:R 1
soumenca / LinearRegression
Linear Regression and polynomial regression using Python
linear-regression multiple-regression python machine-learning algorithms
Language:Python 1
TheChanRProject / CGUMRAssignments
Repo for multiple regression assignments in Quant III for EDUC467.
hierarchical-models stepwise-regression multiple-regression logistic-regression correlation
1
ved-et9 / ML-Algo-s
📚📝 Types of Ml algos
liner-regestion machine-learning ml-models multiple-regression numpy pandas scikit-learn
Language:Jupyter Notebook 1

multiple-regression

srafay / Machine_Learning_A-Z

dominance-analysis / dominance-analysis

agrawal-priyank / machine-learning-regression

EvanDietrich / Quant-Finance-Projects

hunar4321 / RLS-neural-net

vsoch / regression-wasm

hoangsonww / FRED-Data-Analysis

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

Amitha353 / Machine-Learning-Regression

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

BradyFisher / R-Projects

cgatama / 7-Data-Analysis-with-Python

hunar4321 / multiple-regression

danielvartan / linear-models

griffinbran / Real-Estate-Statistical-Modeling

jeremywood-ai / ML_Regression

KhushiBhadange / Regression-Models

udialter / equivalence-testing-multiple-regression

vjgpt / Housing-Prices-Competition-Kaggle

acanacar / DataScienceOverHood

AprajitaChhawi / Data-Science

david-fried / Investigating_Chicago_Crime

geethanjali-2003 / Red_Wine_Quality_SDA_Project

Gkontopodis / Regression-Modelling-in-Practice

Hariharan-SV / Futurist

iamkotwala / DataScience

jianwenwu / STAT-72456-Statistical-Learning-2018

jiheon788 / agricultural-price-forecasting-model

kamlesh0928 / machine-learning

NathanP23 / Regression-and-Statistical-Models-52571

Ranjitkumarsahu1436 / Multiple-Regression

sjburwell / rerp

sndrake / StatsWorkshop

soumenca / LinearRegression

TheChanRProject / CGUMRAssignments

ved-et9 / ML-Algo-s