ttest
There are 0 repository under ttest topic.
raphaelvallat / pingouin
Statistical package in Python based on Pandas
Language:Python 1638tlatkowski / deep-learning-gene-expression
Deep learning methods for feature selection in gene expression autism data.
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ckdckd145 / statmanager-kr
Open-source statistical package in Python based on Pandas
Language:Python 10Implementation of various feature selection methods using TensorFlow library.
Language:Python 9lgrz / pairwise-ttest
Scripts to perform pairwise t-test on TREC run files
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mtahiraslan / ab_testing_project
Comparison of A/B Test and Conversion of Bidding Methods
Language:Python 4vaitybharati / Assignment-03-Q1-Hypothesis-Testing-
A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions. Cutlets.csv
Language:Jupyter Notebook 2Emon-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.
Language:Jupyter Notebook 1jhagelback / ez_statistics
Easy statistical testing on the web
Language:JavaScript 1mahnoorsheikh16 / FDS-Project-CMSE830-Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
Language:Jupyter Notebook 1Mindful-AI-Assistants / MovieRevenueAnalysis
🎬💰 Analyze movie companies' revenue, release strategies, and financial performance using statistical techniques for actionable insights. This project explores data on total revenue, number of releases, and lifetime gross to uncover patterns that can drive strategic decisions in the film industry.
Language:Jupyter Notebook 1philsaurabh / Tutorials
Tutorials for BSE classes.
Language:Jupyter Notebook 1rakibhhridoy / ExploratoryDataAnalysis-Python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
Language:Jupyter Notebook 1SunilVeeravalli / PlotSignificances
To compute and plot significances (pvalues and asterisks) on bar graphs
Language:R 1theheisenberg10 / Root-Cause-Analysis-for-Testing-Service-Provider-
Root Cause analysis to check for disparity in testing performance across different jurisdictions across US
utsavchaudharygithub / MechaCar_statistical_analysis
MechaCar prototypes Collected summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots Ran t-tests to determine if the manufacturing lots are statistically different from the mean population Designed a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from other manufacturers.
Language:R 1xiaojie-qian / Marketing-analysis-with-Python
marketing metrics analysis, A/B test and ttest, CLTV calculation
Language:Jupyter Notebook 1annaeremina96 / statistics_karpov_courses
Works completed within the Statistics module of the Data Analyst course on the Karpov Courses platform
Language:Jupyter Notebook 0aranzadata / VideogameTrends
Análisis de datos exploratorio para identificar patrones y tendencias en las ventas de videojuegos, con el objetivo de detectar juegos prometedores para el siguiente año.
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Kshitij-0509 / yulu-business-casestudy
Which variables are significant in predicting the demand for shared electric cycles in the Indian market and How well those variables describe the electric cycle demands
Language:Jupyter Notebook 0runifrexp / STATISTICAL.MODELS.1
This repository contains the R code done in the laboratories during the first course of statistical models.
Language:R 0SanderBos1 / webAppPyStat
A webapplication that provides a way to calculate statistical functions without having to write any code.
Language:HTML 0SevilayMuni / Project-No.5-XGBoost-RandomForest-ClaimClassification
XGBoost Predictive Model for TikTok's Claim Classification: EDA, Hypothesis Testing, Logistic Regression, Tree-Based Models
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StatAziz / Email-Sign-Up-Optimization--AB-Testing-with-Python
This project is about conducting an A/B test for CityFit, where we compare the impact of two different submit button colors on increasing email sign-ups for an upcoming eCommerce launch.
Language:Jupyter Notebook 0Helzheng123 / datasci_5_statistics
Dive deep into inferential statistics and understand its relevance in drawing conclusions from data. Apply statistical tests to derive insights and make decisions based on data samples.
Language:Jupyter Notebookizsolnay / WAZE_Python
Extensive EDA providing insights into user behavior & ML models built to predict user churn with feature importance
Language:Jupyter NotebookMehrab-Kalantari / Advanced-House-Prices-Analysis
Analysis and Hypothesis Testing of Advanced House Prices Dataset
Language:Jupyter NotebookSharvari289 / A-B-testing-and-Hypothesis-testing---LinkedIn-Premium-subscription-and-a-job-search-success-rate
An experimental study designed to analyze the impact of LinkedIn Premium subscription on job search success rate through A/B testing and hypothesis testing. Additionally, the study examines the correlation between networking activity on LinkedIn and job success rate.
sumony2j / Predictive_Modeling_Analytics_Practicals
Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository
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