gabriel-fallen/orange-statmodels

Orange3 widgets wrapping Statmodels library

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Jabulente/effects-size-measurements

This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.

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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.

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Abhinavexists/Regression

A comprehensive implementation of various regression techniques in Machine Learning.

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vermenea/masters---AD-signaling-pathway-using-Hsp90-inhibitor

Influence of 17-AAG a Hsp90 inhibitor on signaling pathway in Atopic Dermatitis

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egorumaev/2024-ab-tests-metrics

Анализ соответствия размера выборки и плановых значений метрик A/B-теста

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KentaItakura/blog-post-about-conjoint-analysis-

This repo contains files for the blog post about conjoint analysis

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nick-gould/design-of-experiments

Using Python to work up a Design of Experiments

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Hamid-abdellaoui/Crop-yield-prediction

Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models

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xxl4tomxu98/econometrics-gdp-dpi-VAR

Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

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HayaAlmutairi/A-B-testing

Tried to understand whether the company should implement a new page or keep the old page with some statistical techniques.

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amruta33/Telecom-Churn-Case-Study

Building a classification model for reducing the churn rate for a telecom company.

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ChangZero/Hyundai_Heavy_Industries_DT

Hyundai Heavy Industries Digital Transformation(현대중공업DT인력과정)

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DelRene/Detecteur_de_faux_billets

Apprentissage supervisé : Création de modèles prédictifs

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shanuhalli/Assignment-Forecasting

Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.

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shanuhalli/Assignment-Simple-Linear-Regression

Predict delivery time using sorting time and Build a prediction model for salary hike.

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shanuhalli/Assignment-Multi-Linear-Regression

Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.

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shanuhalli/Assignment-Basic-Statistics-Level-2

ExcelR Data Science Assignment No 2

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shanuhalli/Assignment-Basic-Statistics-Level-1

ExcelR Data Science Assignment No 1

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shanuhalli/Assignment-Hypothesis-Testing

ExcelR Data Science Assignment No 3

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PatilSukanya/Assignment-04.-Simple-Linear-Regression-Q1

Used libraries and functions as follows:

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FishmanMax/ML_coursework

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ZeyadMoawad/Udacity-Analyze-A-B-Test-Results-Project

Udacity Data Analyst Nanodegree - Project III

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philsaurabh/Tutorials

Tutorials for BSE classes.

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yujisatojr/py-stock-prediction

Stock price analysis and prediction using pandas

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Emon-ProCoder7/Data-Driven-Decision-Making-With-Statistics

My this project repository focused on hypothesis testing involving T-test, Chi-square test, Binomial Test, ANOVA, Sample Size Determination with scipy, statmodels modules.

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