Enabling easy statistical significance testing for deep neural networks.

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

🏠 This repository contains data analysis scripts for the 2022 American Community Survey (ACS) focusing on individuals aged 25 and over in North Carolina, based on 75,340 observations. This repository offers valuable insights into demographic and economic patterns across North Carolina's urban areas.

Grammars suitable for lark parser and Hypothesis

Hypothesis testing with UW Madison grades. Project formed from https://www.kaggle.com/Madgrades/uw-madison-courses

Implement statistical hypothesis tests with Python easly

An R project that investigates whether different genres of songs have significantly different durations through the use of a one-way ANOVA test and post hoc significance tests conducted over an excerpt of a dataset consisting of 1 million popular songs compiled by The Echo Nest and a lab at Columbia University.

How to Use Hypothesis and Pytest for Robust Property-Based Testing in Python

To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.

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.

Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection and Storage (PostgreSQL), Business Analytics, Making Business Decisions Based on Data (Hypotheses testing), How to Tell a Story Using Data (Presentation and Data Visualization - Maplotlib, Seaborn, Plotly), Automa…

Democritus functions for working with Hypothesis (https://hypothesis.readthedocs.io/en/latest/).

statistical analysis using python

Movie Dataset Analysis in Python. It contains EDA, Visualisation and Hypothesis tests

SQL and hypothesis testing

Data Science Statistics Interview Questions

Hypothesis-Test in python

Enthält statistische Tests auf Gleichverteilung und Monte-Carlo-Simulationen um diese zu vergleichen.

Applied KS test and T-test to check whether rental subsidy rate’s distributions are different across different PHAs and implemented Pearson-correlation analysis to explore the linear correlation between rental subsidy rate and other factors.