Skip to content

up-data-science/Practical-Statistical-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Practical-Statistical-Analysis

This respository is made with the goal to learn how to analyze data from statistical perspective. Topics suggested and described in this repository are related to:

Applied problems
Descriptive/exploratory Statistics
Probability Theory
Statistical inference
Linear models (GLM)
Non-parametric Statistics
Multivariate Statistics
Time Series prediction
Actuary
Experimental Design
Sampling Statistical Strategies
Bayesian Statistics
Advanced Predictive Modelling

Feel free to edit and share your experiences related with data analysis using statistics!

share in folders if POSSIBLE jupyter notebooks explaining your approaches!

Please codes with the next structure will make the help easier!:

  1. Folder with a name:

Inside :

  • Code folder: All the raw code in (python, R, c++, javascrypt, etc.)
  • Notebook: Your comments and outputs for the data and problems! (optional but better so others can understand easier!)
  • Data folder: Your databases, json files, pkl or other data format.
  • README.md: Category of the problem + Explaining your problem!

(If you don't have jupyter COMMENT the much as you can your code!)

About

This respository is made with the goal to learn how to analyze data from statistical perspective.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors