hoangsonww/FRED-Banking-Data-Analysis

💸 AI-powered banking data explorer that combines FRED API insights with vector search, regression analysis, and interactive chat via OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.

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srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 2 days ago - Pushed at: almost 4 years ago - Stars: 386 - Forks: 195

danielvartan/linear-models

🐧🧊 General Linear Models Using Penguins

Language: TeX - Size: 4.55 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

nurulashraf/linear-regression-spotify

Data Science - Spotify Linear Regression Analysis

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MJRAnalytics/Covid-Job-Loss-Econometrics-Project

This is a project done in Stata, for an econometrics class. The goal of the project was to show how job retention was different in rural vs urban areas during the early stages of the Covid-19 pandemic.

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hunar4321/RLS-neural-net

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

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jdfoster11/R_Horror_movie_quality_analysis

Using R to perform a statistical and regression analysis on a horror movies quality dataset

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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.

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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.

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XXinZ28/StatisticalMethodsI_Final_Project

This is the final written report for Statistical Methods course

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ashemsu/statistical-programming-R

This repo includes the beginning of my more advance project work during my undergraduate program at UPenn, wherein we to applied statistical concepts into our analysis in R.

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Harishanan/ESEUR-workshop Fork of Derek-Jones/ESEUR-workshop

Data analysis for software engineering (R programming)

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AprajitaChhawi/Data-Science

Data Science from the very basics along with some projects

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Teliteu/biostatistics

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

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geethanjali-2003/Red_Wine_Quality_SDA_Project

Language: R - Size: 1.48 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Lefteris-Souflas/Multiple-Regression-Project

Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

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SK7here/Profit-estimator

A multiple regression model that estimates profit of a startup company based on parameter(s) which have impact over the profit of the startup.

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ravitharanga/Data-Science-Work-With-Data

This question-answer paper discusses data science topics such as Probability, Multiple Regression Analysis with Python, Advanced Data Visualization and Analysis using Matplotlib and Seaborn and Matrices

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raquelbaeta/r-government-expenditure-and-drug-seizures-2017

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

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TheChanRProject/CGUMRAssignments

Repo for multiple regression assignments in Quant III for EDUC467.

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suryateja0153/Multiple-Regression-Craigs-List-Vehicle-Price-Prediction

Simple Multiple Regression problem to predict vehicle price based on various KPI's done as part of statistics coursework.

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seanskggo/Bank-Churn-Predictor

Customer attrition predictor for retail banks

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Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

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norbertolimonjr/Multiple-Regression-Analysis

Description: Mult. Reg. Analysis performed on data from car sharing platform 'Turo' using R and a public data set representing operations in the state of Arizon of car features and additional metrics such as gas mileage and price.

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hunar4321/multiple-regression

A simple intuitive method for multiple regression

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martinsjeniffer/Metodos-Quantitativos-ACH2036

Repositório contendo os códigos da disciplina Métodos Quantitativos Aplicados à Administração de Empresa I, ministrada pela professora Ana Amélia, na Escola de Artes, Ciências e Humanidades (EACH) na Universidade de São Paulo (USP)

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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)

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soumenca/LinearRegression

Linear Regression and polynomial regression using Python

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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)

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chinmayrawool/Spark-Multiple-Regression

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jianwenwu/STAT-72456-Statistical-Learning-2018

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Prince0511/Multivariate-Analysis

This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.

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pavannaik3009/BostonHousingProject

Regression for Boston Housing price prediction: Linear, Multiple, Robust, OLS, Regularization (Ridge-l1 norm, LASSO-l2 norm, ElasticNet)

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ewald-florian/Machine-Learning-From-Scratch

Implementing ML algorithms from scratch using only numpy is a great way to understand the functionality under the hood.

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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.

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repetere/ts-mlr 📦

Multiple Linear Regression with TensorFlow

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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.

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progressEdd/Illini-Esports-Analysis

illini esports discord community growth and engagement analysis

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doguilmak/Predict-Student-Marks-with-Regression

In this project, grade estimation was made through Multiple linear and Polynomial regression models in line with the number of courses and the time they worked.

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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.

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jiheon788/predicting-the-price-of-rice

아주대학교 2021-2 비즈니스 애널리틱스 프로젝트

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akash2262/P1-Regression-Analysis

Linear Regression, Polynomial Regression , Multiple Regression On Salary ,Cars And 50 start ups Data Set . Dummy Variable Encoding Is Also Here.

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EvanDietrich/Quant-Finance-Projects

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

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jeremywood-ai/ML_Regression

Examples of Machine Learning Regression Models Built in Python and R

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Anoushka-Gaikwad/Business-Analytics---Factors-affecting-attendance-of-students-in-Texas

Identifying the factors affecting the attendance rate of students in Texas using descriptive and statistical analysis in Excel.

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aayush301/machine-learning-basics

A list of python notebooks for Machine learning basics- regression and classification.

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bkraffa/desafioregressao

Desafio de Regressão para o curso de Data Science e Machine Learning da Tera. Aqui aplicamos uma regressão múltipla com seleção de 6 features e posteriormente treinamos um modelo de regressão random forest com tuning dos hiperparâmetros em que atingimos um erro médio absoluto de apenas R$ 15.400 nas previsões com um R² de 0.956

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kbjornson/multiple-regression-sales-volume

Predicting sales volume for different product types using multiple regression and analyzing the impact customer reviews have on sales.

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Hariharan-SV/Futurist

Used Car Price Prediction Package

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abdullahsafi/Boston_Housing_Analysis

Using multiple regression to analyse a Boston housing dataset with multiple predictor variables. The data is publicly available and sourced from the U.S Census Service.

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gzlupko/Spotify_Data_Analysis

Performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. Implemented multiple regression to identify multivariate predictors of song popularity.

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vsoch/regression-wasm

Testing doing basic regression with web assembly

Language: Go - Size: 3.75 MB - Last synced at: 9 days ago - Pushed at: about 4 years ago - Stars: 32 - Forks: 1

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).

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acanacar/DataScienceOverHood

DataScienceOverHood

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Gkontopodis/Regression-Modelling-in-Practice

Wesleyan University

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mumin91/Dengue-Prediction

The linear regression models are developed as part of final report of "Advanced Analytics" module at University of Derby.

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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)

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bnriiitb/Machine-Learning

This repository contains all the Machine Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the Machine Learning frameworks such as scikit-learn and h2o.

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grantgasser/Complete-Multiple-Regression

R script that performs complete multiple regression on two data sets

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grantgasser/multiple_regression

A simple multiple regression on two datasets (lm and closed form solution)

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vjgpt/Housing-Prices-Competition-Kaggle

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

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snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

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scottherford/Barley-House

Ames Housing Prices: Advanced Regression Techniques

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kybrdbnd/basic-machine-learning

Basics of Machine Learning

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bfine9618/MultipleRegAnalysis

Multiple Regression Analysis

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