ttest
There are 102 repositories under ttest topic.
raphaelvallat/pingouin
Statistical package in Python based on Pandas
tlatkowski/deep-learning-gene-expression
Deep learning methods for feature selection in gene expression autism data.
markur4/plotastic
Streamlining statistical analysis by using plotting keywords in Python.
ckdckd145/statmanager-kr
Open-source statistical package in Python based on Pandas
tlatkowski/tf-feature-selection
Implementation of various feature selection methods using TensorFlow library.
lgrz/pairwise-ttest
Pairwise t-test on TREC run files
mtahiraslan/ab_testing_project
Comparison of A/B Test and Conversion of Bidding Methods
jhagelback/ez_statistics
Easy statistical testing on the web
Mindful-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.
RezaSaadatyar/Machine-Learning-with-MATLAB
This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.
vaitybharati/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
xiaojie-qian/Marketing-analysis-with-Python
marketing metrics analysis, A/B test and ttest, CLTV calculation
ankit-verma2000/Business-Case-Yulu
This project analyzed factors affecting the demand for shared electric cycles in the Indian market. Using EDA and hypothesis testing, I found no significant effect of "working day" on rental count but confirmed that seasonality influences demand. The insights provide valuable guidance for optimizing shared cycle availability.
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.
Parsankamusa/my-projects
containing projects currently working on it
philsaurabh/Tutorials
Tutorials for BSE classes.
rakibhhridoy/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.
theheisenberg10/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.
aranzadata/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.
runifrexp/STATISTICAL.MODELS.1
This repository contains the R code done in the laboratories during the first course of statistical models.
sampath-kothapalli/bike-sharing-data-analysis
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
sayed-ashfaq/Yulu-HypothesisTesting
In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.
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.
avishekdas45/Student-Performance-Analysis
📖This project explores and analyzes factors influencing student performance using data visualization and statistical insights.
ghaza-putra/salesforce-ttest-analysis
Statistical analysis to evaluate the impact of a sales training program using T-Test. This project compares post-training sales transactions of 25 salespeople to a historical average of $100 to determine whether the training significantly improved sales performance.
hdangle31/AB-Test-MKTG-R
A/B Testing Analysis of Digital Marketing Campaign Using R
Jabulentee/A-B-Testing-for-Marketing-Campaign
This repository contain project focused on evaluating the effectiveness of two different marketing strategies (Campaign A and Campaign B) to determine which one yielded better conversion rates.
mananabbasi/Applied_Statistics_-_Data_Visualisation_
This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R scripts, results (plots, tables), and a detailed README for insights and methodology.
Mobin-Ghanbari/Regression-problem
Traditional Regression problem project in R
rkeerthi13/Postnatal_depression_due_to_pandemic
Analyze how maternal age, income, and education influenced postnatal depression levels during the COVID-19 pandemic using statistical modeling.
sangeetha077/Student_performance_Analysis
Analyse Student performance using data cleaning, statistical analysis, SQL insights, and visualizations.
santiagoahl/risk-model-for-credit-loans
Risk prediction model to estimate credit provision
zyna-b/Heart-Disease-Prediction-Analysis
Comprehensive heart disease prediction analysis with EDA, statistical testing & ML preprocessing. Features T-tests, Chi-square analysis, data visualization, and feature engineering on 918 patient records with 12 clinical variables.