All of these previous analyses were done in SAS. I transitioned them over to Python to practice the language.

Is it true that players tend to perform better in their contract years? Furthermore, can teams or fantasy managers really take advantage of it?

Visualization from Statistical Data Analysis

Predicting the Contraceptive Method Choice of a Woman Based on Demographic and Socio-economic Characteristics - The objective of this study is to to predict the contraceptive methods (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics. A data-set of 1473 married women with the…

This repository will explain about paired sample t-test, the test procedure and how to use it using Scipy library of Python.

Project in R analyzing "Cigarette" dataset using libraries Ecdat, ggplot2, dplyr

Data for A Cause - Pencils of Promise

HealthAnalytics-SAS: Leveraging SAS Programming to Uncover Health Trends, Correlations, and Predictive Insights from Comprehensive Health Data Analysis.

pandas and paired t tests with cell bio data

Hypothesis testing and Statistical Analysis Projects

This repository contains different statistical methods for Hypothesis testing.

This repository consists of an R Notebook utilizing the following bioinformatics methods: p-values and Deep Neural Networks. Histograms have been used to plot the differences between before training and after training results. The csv file "BIMM 143 Project 2.csv" will be necessary for code to run.

Rent pricing prediction on NY properties with interactive dashboards.

A basic comparison of different statistical methods for data understanding and exploration.

Machine Learning Algorithms Collection