#Descriptive-statistics
Showing 10 of 10 repositories tagged #descriptive-statistics, ranked by stars
Analytics & Machine Learning R Sidekick
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.
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Personal repository of data science demonstrations and references
I will update this repository to learn Machine learning with python with statistics content and materials
Statistics for Data Science and Machine Learning Handwritten Notes
Kai Sheng Teh - Udacity Data Analyst Nanodegree
A small collection of lesser-known statistical measures
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
Astetik takes away the pain from telling visual stories with data on Python