t-test
There are 0 repository under t-test topic.
atif-hassan / PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Language:Jupyter Notebook 117yug95 / MachineLearning
Machine learning for beginner(Data Science enthusiast)
Language:Jupyter Notebook 109- Language:Python 62
sanjeevai / trading-with-momentum
Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable
Language:HTML 53karoliskoncevicius / matrixTests
R package for computing multiple hypothesis tests on rows/columns of a matrix or a data.frame
Language:R 35jlolivaresp / Tesis
Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant
Language:Python 28raj-shr-git / Statistical_testing_python
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
Language:Jupyter Notebook 10RandyDeng / SSVEP-BCI-Research
High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals
Language:C# 10Statistics-and-Machine-Learning-with-R / Statistical-Methods-and-Machine-Learning-in-R
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
Language:R 10zhaoxin1124ds / Lithofacies-classification-using-machine-learning
Supervised classification to predict rock facies and a T-test flow to evaluate the prediction performance.
Language:Jupyter Notebook 1028101991SUNNY / Statistics_study
about statistical techniques for Data Science
Language:Jupyter Notebook 5dple / Statistical_data_analysis
This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)
Language:Python 5- writR
matcasti / writR
writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.
Language:R 5 Srizon143005 / PancreaticCancerBiomarkers
Pancreatic Cancer Biomarkers Identification Codes & Files
Language:Python 5lastralab / Statistics
Retrieving, Processing, and Visualizing Data with Python
Language:Python 4RachelPengmkt / Analyzing-a-Simple-A-B-Test-with-a-T-Test
I will include two ways of t tests that compare conversion rate and click through rate of two groups
Language:Jupyter Notebook 4Sakib1263 / COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar
A Machine Learning-based approach to classify COVID-19 Vaccine Willingness and Hesitancy severity among people in Qatar based on survey outcomes.
Language:Jupyter Notebook 4Tejindersingh1 / Tumor-Prediction-with-ML
Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.
Language:Python 4- Language:R 3
opencasestudies / ocs-bp-rural-and-urban-obesity
OCS (BP): Examine global patterns of obesity across rural and urban regions
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- from-sas-to-python
aidanastridge / from-sas-to-python
All of these previous analyses were done in SAS. I transitioned them over to Python to practice the language.
Language:Jupyter Notebook 2 akochepasov / statmoments
Fast streaming univariate and bivariate moments and t-statistics
Language:Python 2Aysenuryilmazz / hr_analytics_ML
ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/
Language:Jupyter Notebook 2hardikchheda13 / Web-Data-Extraction-and-Analysis
Scrapped reviews of 500 Restaurants from yelp and Tripadvisor each. And tried to analyze the difference in ratings.
Language:Python 2igormcoelho / optstats
A C++ header-only library for useful tools on optimization, statistics and curve fitting
Language:C++ 2Lacerdash / Hypothesis-Testing-Confidence-Interval
Testing hypothesis and building Confidence Intervals
Language:Jupyter Notebook 2lgatto / 2017-05-03-RstatsIntro-NEU
Beginner's statistics in R
Language:HTML 2- Language:R 2
narjesno / Statistical-Inference
This repository contains all of the statistical Inference-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
Language:R 2RaghuveerRao / Statistics-Inference
Notes on statistical inference made for learning statistics for data scientists
robguilarr / control_mechanics_fallout
Inferential analysis with two sample t-tests and Mann Whitney U, to test a change implemented from a game patch
Language:Jupyter Notebook 2sanketmaneDS / Hypothesis_Testing
This repository contains introductory notebooks for basic hypothesis testing problems.
Language:Jupyter Notebook 2YujiJeong / A-B_Testing
Comparing the lift in the subscription rate between the control and personalized contents across marketing channels, and conducting two sample t-test to determine if the difference is statistically significant.
Language:Jupyter Notebook 2AdammGreen / R-Marketing-Analysis
Here I did an analysis of a survey taken on cell based meat and processed it using R to find correlations and make some assumptions on the data.
T3kan0 / ASIS
ASIS is a web application developed for the compilation of impact report PDF documents for the tutorial programme (A-STEP) at the University of the Free State.
Language:Jupyter Notebook 1
