GitHub topics: regression-analysis

Repositories

pb319/Segment-Stream

A repository dedicated to the analysis of customer segmentation. This project aims to implement and evaluate various segmentation methodologies, drawing inspiration and techniques from current research in the field.

Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: about 19 hours ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

applied-geodesy/jag3d

Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences

Language: Java - Size: 30.4 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 63 - Forks: 17

Ansh118/ML_House_Prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

Language: Jupyter Notebook - Size: 7.77 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Hyperfoil/Horreum

Benchmark results repository service

Language: Java - Size: 11.9 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 44 - Forks: 31

kindo-tk/VIT_winter_sem

This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistical inference, time series analysis, data visualization, and Java programming—implemented using tools like Python, R, Power BI, Tableau, Excel, and Java

Language: Jupyter Notebook - Size: 68.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0

KumariSandhya2003/Ames-Housing-Predictions

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

DarkEyes/MRReg

The framework for finding multiresolution partitions that have homogeneous linear models from multiresolution dataset.

Language: R - Size: 1.82 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0

alexrod61/regression-cookbook

The repository contains all the source files for the Regression Cookbook (Now with Machine Learning and Stats Flavours!). This textbook aims to set a common ground between machine learning and statistics regarding linear regression techniques using Python and R under two perspectives: inference and prediction.

Language: R - Size: 51.9 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

hoangsonww/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

Language: R - Size: 297 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 9 - Forks: 5

ooples/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 5.66 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 29 - Forks: 7

gayathriperi/Data-Analytics-Projects

Data Collection,Processing,EDA,visualization,application of machine learning to drive insights for given use case

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

code-pushup/cli

A CLI to run all kinds of code quality measurements to align your team with company goals

Language: TypeScript - Size: 14.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 325 - Forks: 15

Cyberoctane29/Invistico-Airlines-Customer-Satisfaction-Prediction-End-to-End-Analysis-and-Modeling

This project presents an end-to-end workflow for predicting airline customer satisfaction using survey data. It involves building and evaluating classification models (Logistic Regression, Decision Tree, Random Forest, XGBoost), covering data cleaning, exploratory analysis, model training, tuning, evaluation, and feature importance analysis.

Language: Jupyter Notebook - Size: 6.68 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

A-Herzog/LinearRegression

LinearRegression is a web service for showing linear regression lines for sample sets.

Size: 431 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Cyberoctane29/Diamonds-ANOVA-Analysis

This project uses ANOVA in Python to analyze how diamond color and cut affect pricing. By testing for statistical significance and running post hoc comparisons, it reveals key pricing patterns. Built with pandas, statsmodels, and Seaborn, the findings help inform diamond valuation and purchasing decisions.

Language: Jupyter Notebook - Size: 378 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Cyberoctane29/Salifort-Motors-Predicting-Employee-Turnover-and-Improving-Retention-Analysis-and-Modeling

In this project, I work as a data analytics professional at Salifort Motors, a fictional leader in alternative energy vehicles. I analyze employee survey data to identify turnover drivers and build predictive models, including multiple logistic regression, decision trees, and random forests, to forecast attrition and support retention strategies.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

juancmacias/P5_ProblemaDeRegresion_G4 Fork of stephyangeles/P5_ProblemaDeRegresion_G4

🚗 Análisis de Precios de Autos Usados: Este proyecto utiliza Machine Learning para predecir el valor de autos usados basado en: Marca, modelo, año, kilometraje, tipo de combustible y más. Datos limpios y procesados. Visualización interactiva

Language: Jupyter Notebook - Size: 61.2 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

RenatoMaynard/Statistical-Modeling-and-Regression-Analysis-Life-Expectancy

Statistical Modeling and Regression Analysis for Life Expentancy

Language: R - Size: 139 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 0

Shuyib/london_weather_prediction

The London Weather Project aims to predict the mean temperature in London using historical weather data, involving data cleaning, feature engineering, and modeling with techniques like imputation, transformation, scaling, and the use of MLflow for tracking model performance and hyperparameters.

Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

JavierCastilloGuillen/Quantitative_Toolbox

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

Language: Jupyter Notebook - Size: 7.79 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 8

subu53/Ames-Housing-Price-Prediction-Ml-Regression

House price prediction using regression machine learning models

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

sgazagnes/Classy-RHD-Spectra

Simulation-based modeling of Si II and C II UV line spectra to interpret CLASSY galaxy observations. Includes spectral analysis tools, notebooks, and comparison plots from Gazagnes et al. (2023, ApJ 952, 164).

Language: Jupyter Notebook - Size: 616 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

PrarthanaE/Regression-and-classification-Mini-Projects

These are a collection of Mini-Projects related to Regression and classification models

Language: Jupyter Notebook - Size: 436 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

el1zabethcodes/ml-price-prediction

Simple regression project for predicting diamond prices based on physical attributes using linear regression.

Language: Python - Size: 2.93 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

hsynadguzel/AAPL_Stock_Regression_Analysis

This repo includes regression analysis on AAPL stock. Basic statistics, visualization, outlier detection and regression modeling steps are included.

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

meiyulee/MathAI

免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體

Language: Batchfile - Size: 44.5 MB - Last synced at: 12 days ago - Pushed at: 12 months ago - Stars: 38 - Forks: 1

Hamed-Ahmadinia/Applied-Data-Science-MiniProjects

A portfolio of data analytics projects demonstrating skills in data wrangling, visualization, predictive modeling, and time-series analysis. Each project explores real-world datasets from various domains, including demographics, sales, medical data, and environmental trends. Datasets available on Kaggle.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

jmboehm/GLFixedEffectModels.jl

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

Language: Julia - Size: 456 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 33 - Forks: 5

Mugambi645/population-growth-analysis

Population Growth

Language: Python - Size: 126 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

mrandolph95/Grad-Projects

Projects completed during my ASU grad program for Social Data Science.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

google/dana

Test/benchmark regression and comparison system with dashboard

Language: JavaScript - Size: 7.35 MB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 115 - Forks: 23

Cyberoctane29/TikTok-Claims-Classification-End-to-End-Analysis-and-Modeling

This project analyzes TikTok videos to classify claims vs. opinions using Python. It includes EDA, statistical tests, logistic regression, and ML models (Random Forest, XGBoost) to support content moderation. Built with pandas, scikit-learn, and Tableau, the solution helps TikTok automate content review and enhance moderation efficiency.

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: 19 days ago - Pushed at: 25 days ago - Stars: 5 - Forks: 0

tegarkusuma12/Regression-Analysis-mtcars

Regression Analysis on mtcars dataset

Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

ian0671/CO2-Trends-Python

Language: Jupyter Notebook - Size: 759 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Anubasam13/Statisticalinsights_BDP

Statistical Insights into Global Mortality: A Business Decision Processing Perspective. The project utilizes business decision tools including confidence intervals, hypothesis testing, ANOVA, and multiple regression models, to extract actionable insights about global health trends.

Size: 0 Bytes - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Priyanshi1004/Student-Spending-Recommendation-Dashboard

This dashboard presents an analysis of college students' spending habits, financial stress levels, savings behavior, and preferences in managing money.

Size: 0 Bytes - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

drewmacarthur/chempath

Projects from chemical pathology

Language: R - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

babli18/MKT---Consumer-And-Brand-Research

Python Code for MKT - Consumer and Brand Research Course for Simon Business School

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

pxxthik/Real-Estate-Data-Science

99acres Insightful Estates provides stakeholders with actionable insights and personalized recommendations by analyzing real estate trends using advanced data science methodologies.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 3

jared-fowler/prettyglm

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

Language: R - Size: 17.5 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

astro-sayan99/Numerical-Methods

In this repository, I am uploading various numerical methods widely used in Physics and Astronomy for different purposes.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Koushikphy/Interactive_Data_Editor

A Software to interactively edit data in a graphical manner

Language: JavaScript - Size: 41.6 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 46 - Forks: 10

LastAncientOne/Technology_Investment

Analyzing and investing Technology Stocks

Language: R - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

PZVivian/School.BSc.STAD94_StatsProject

This project investigates the impact of electric vehicles on various pollutants and health conditions in 34 countries using regression analysis.

Language: HTML - Size: 3.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Ackson507/Macroeconomic-Modeling-with-VAR-and-VECM-Models-on-Zambian-Macroenomics-

Analyzing multiple relationships between macroeconomic variables and their impact on inflation in Zambia from 2013 to 2024.

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geekquad/Fraud-Detection

A Person Of Interest identifier based on ENRON CORPUS data.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 18 days ago - Pushed at: almost 5 years ago - Stars: 28 - Forks: 8

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

Language: Python - Size: 125 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

nathanasiou/BoardGameGeek-Analysis

BoardGameGeek Regression Analysis

Size: 96.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

NeuralAditya/Polynomial_Regression_C

A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.

Language: C - Size: 344 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

apachex692/lad-linear-regression

Learning and Development: Linear Regression

Language: Jupyter Notebook - Size: 444 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Cyberoctane29/Influencer-Impact-and-Marketing-Sales-Modeling-and-Analysis

This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and resource allocation.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Cyberoctane29/Penguins-Data-Analysis-and-Modeling

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

evan-dg31/Data-Science

Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering

Language: Jupyter Notebook - Size: 5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ManikantaSanjay/crop_yield_prediction_regression

Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Support-Vector Regressor

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 2

shubhaansaxena/Billionaires_Statistics_Econometric_Analysis

An econometrics project done with R that looks at the causal effect of GDP per capita on the number of billionaires in the respective country.

Language: HTML - Size: 646 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

kennethleungty/Principal-Component-Regression

Principal Component Regression - Clearly Explained and Implemented

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 5

bhattbhavesh91/multivariate-adaptive-regression-splines-demo

A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 8

suhaibmukhtar/StudentPerformancePrediction

End-to-End Machine Learning project with MLOps, including data ingestion, transformation, model training, and experiment tracking using MLflow. Features modular design, logging, custom exception handling, and deployment to AWS EC2 for real-time predictions.

Language: Jupyter Notebook - Size: 8.09 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

nikhilfuke1/A-B-Testing-and-Regression-Analysis-Python

Python Statistical Project involves data analysis, visualization, A/B testing, and regression analysis to determine the best-performing platform.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Willie-Conway/Boston-Housing-Market-Analysis

This repository contains an 📈analysis of the 🏘️Boston Housing Data focusing on the factors influencing housing prices. Using statistical tests and data visualizations, we explore key relationships, including the impact of proximity to the Charles River 🌊, the age of homes 🏡, the NOX concentrations 🧪, and employment center distances 🚗.

Language: Jupyter Notebook - Size: 145 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mgjho/xrfit

Model Based Fitting on Xarray

Language: Python - Size: 283 KB - Last synced at: about 19 hours ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

mslawsky/waze-user-analytics

Data-driven analysis of user churn patterns to optimize retention strategies and enhance user engagement

Language: Python - Size: 3.73 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

TatevKaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Language: R - Size: 15.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 138 - Forks: 46

mrtkp9993/Statistical-Modeling-Examples

Basic statistical modelling examples.

Language: R - Size: 5.16 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 17

Snigdho8869/Regression-Analysis-Projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

SHIVAMAMBAH/Regression

Regression Models

Size: 240 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Aaryan-Agr/Wine-Quality-Prediction

Analyzes the Wine Quality Dataset, focusing on white wines. The project applies regression techniques to predict wine quality based on chemical properties. It involves data cleaning, feature selection, model training, and evaluation to build an accurate predictive model.

Language: Jupyter Notebook - Size: 529 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Lakshyakumar1603/Credit-Limit-Prediction_ML

It is Simple Machine Learning Project which followed the Supervised Learning Category and Regression Type Based Problem. Also it have Some Functionality like Fronted website input and Databases Connection.

Language: Jupyter Notebook - Size: 669 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Aaryan-Agr/Crime-And-Housing-Analysis

This project analyzes crime data and its impact on the Housing Price Index (HPI) across various U.S. cities. Using regression modeling and exploratory data analysis (EDA), the goal was to identify key socio-economic factors influencing crime rates and HPI trends over multiple years.

Size: 4.98 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

labcaesar/NSYS-Analyzer-and-Visualizer

NAV extracts and analyzes GPU performance traces from NVIDIA Nsight™ Systems (NSYS), enabling comparative analysis and visualization for efficient performance profiling and regression testing.

Language: Python - Size: 2.93 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

quantra-go-algo/ml-trading-book

Book on Machine Learning in Trading with real-world applications.

Language: Jupyter Notebook - Size: 3.62 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

Victory-Ik/Supportive-leadership-and-employee-satisfaction-and-performance

Using data from the European Working Conditions Survey (EWCS) 2015, this research explores how supportive leadership impacts employee well-being, with work engagement serving as a mediating factor.

Language: R - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

evan-dg31/Data-Analysis-with-Excel

Showcases various techniques for performing data analysis using Microsoft Excel and creating Dashboard in Excel. EDA, Regression Analysis, Dashboards

Size: 17 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

emilyksanders/pride_and_joy-generations

This is a continuation of my dsb318-capstone, in which I use the Generations dataset (Meyer et al., 2023) to model positive and negative predictors of mental health among queer people.

Language: Jupyter Notebook - Size: 49.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

palday/BoxCox.jl

Box-Cox transformation in Julia

Language: Julia - Size: 2.26 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 0

oislen/MSc-ESC

Code and data for MSc dissertation on factors which influence the Eurovision Song Contest.

Language: R - Size: 67.8 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Wondermongering/NonLinearDataGen

A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations

Language: Python - Size: 20.5 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

paulnorthrop/gamlssx

Generalised Additive Extreme Value Models for Location, Scale and Shape

Language: R - Size: 3.4 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

Saba-Gul/Exploratory-Data-Analysis-and-Statistical-Analysis-Notebooks

This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.

Language: Jupyter Notebook - Size: 6.79 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 2

redhat-plumbers-in-action/regression-sniffer

🐶 Loyal GitHub action that sniffs out any follow-up and revert commit of your cherry-picked commit

Language: TypeScript - Size: 5.79 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 1

FaisalAhmed21/CSE422-Artificial-Intelligence

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

vadimtyuryaev/RegrCoeffsExplorer

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

Language: R - Size: 5.65 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

AriannaRigamonti/Statistics

This project analyzes video game sales and review scores to explore their impact on market performance. It includes statistical analysis, hypothesis testing, and regression modeling to identify trends and relationships between critic/user scores and global sales.

Language: R - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

adensiau/Virtual-Internships

Investigating the relationship between student scores and group interactions

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Albert-2002/Robust-Penalized-Empirical-Likelihood-Estimation-Method-for-Linear-Regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SreejaBethu/Forecasting-Weather

Weather Forecasting using OpenWeatherMap API and Random Forest Regressor in Python. Converts temperature data to Fahrenheit, and provides visualizations for actual vs predicted temperatures.

Language: Python - Size: 110 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

yash-rewalia/Stock-closing-price-prediction-using-regression

The ultimate business objective is to leverage the regression model to provide accurate predictions of the closing price of AMRN stock, enabling stakeholders to make well-informed investment decisions, manage risks effectively, optimize portfolios, Early warning systems to alert any fraud cases and align investment strategies with financial goals.

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

aliarafat1000/marketing-campaign-analysis-facebook-or-adwords

This project compares Facebook Ads and Google AdWords to determine which drives more conversions. Using data analysis, hypothesis testing, and regression modeling, we find Facebook Ads generate higher conversions at a lower cost. Insights on CPC trends and engagement patterns help businesses optimize ad spend and maximize ROI.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0