Statistical package in Python based on Pandas

Deep learning methods for feature selection in gene expression autism data.

Implementation of various feature selection methods using TensorFlow library.

Scripts to perform pairwise t-test on TREC run files

To compute and plot significances (pvalues and asterisks) on bar graphs

Easy statistical testing on the web

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

An R project that conducts a hypothesis test to analyze the validity of Robin Dunbar's claim that humans only have the capacity to keep track of a maximum of 150 people (Dunbar's Number) at a time. Through this project, Dunbar's hypothesis is investigated with the use of multiple t-tests conducted over a Facebook usage dataset.

Hypothesis Test : Two Sample T Test

Difference test with Gene expression by permutation method( by T-test and median test)

Hypothesis Testing Assignment (ttest in Stata)- Difference in college attendance between male and female. Data from CSP March 2017 by the U.S. Census Bureau.

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.

T-test on the effect of recession on housing prices in university towns

Some jupyter notebooks exploring statistical models and tests, sample data all included.