inferential-statistics

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Hypothesis and statistical testing in Python

Parametric and non-parametric statistical tests

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

Visualise the Results of Inferential Statistics using 'ggplot2'

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

New dedicated repo! This marketing data science app helps brands statistically identify their organic -and influential- ambassadors, thereby nullifying the need for paid brand ambassadors. :)

A poisson e-test for python.

This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.

as taught in 2011 MIT 6.00SC Introduction to Computer Science and Programming

Biomedical Feature Selection for Machine Learning Models

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.

Beginners Guide - Important Statistical concepts required for ML

Evaluating the impact of a new golf ball coating

e-commerce website _ Analyze A/B Test Results: to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

Notes on statistical inference made for learning statistics for data scientists

All the assignments for the subjects of Prededctive Modelling, Inferential Statistcs and business analytics undertaken during Semester VII at NIIT University, Neemrana are updated.

Analysis of fantasy football data and trends from the past 10 years (i.e., 2010 - 2020) and predictions for the next NFL season

Statistical Inference W4702 Final Project

Using data visualisation and inferential statistics to find the cause of train accidents in India for year range 2002-2017.

Harvardx Professional Certificate in Data Science. Presentation and courses notes with R code

My solutions to Thrun et al.'s Probabilistic Robotics end of chapter questions.

The project is a collection of EDA (Exploratory Data Analysis), and Frequentist and Bayesian Inferences performed on random datasets in R, and published using RStudio’s package, Shiny. Analysis is performed on datasets from published studies and other free data resources available online.

Easily install and load all Rsquared Academy R packages.

Shiny app to perform statistical inference on mean(s), proportion(s) and variance(s). See https://antoinesoetewey.shinyapps.io/statistics-201/

Inferential Statistics using Confidence Interval

Inspired by the HackForLA organization, this repository will house the analysis of open LA datasets.