/Statistical-Analysis-Projects

Explanatory data analysis in Python using uni-variate, bi-variate and multivariate analysis methods

Statisctical Analysis

The Projects in this repository cover various statistical ananysis methods.

Exploratory-Data-Analysis

Exploratory Data Analysis through summary statistics, plotting features, correlation analysis, and variable/feature importance. Application of statistical concepts i.e. descriptive analysis, inferential, hypothesis testing and confidence intervals.

Types of Analysis performed include;

Univariate Analysis,

Bivariate Analysis,

Multivariate Analysis -(Principal Component Analysis, Factor Analysis and Discriminant Analysis)

Experimental Design

Exploratory data analysis Univariate, Bivariate and Multivariate Analysis Data Cleaning

Setup/Installation Requirements

Google colab/jupyter notebook Python basics Python libraries Github

Known Bugs.

{There are no known bugs}

Technologies Used

{Python; Pandas, Sklearn, matplotlib, seaborn}

Support and contact details

{Any issues, questions, ideas, concerns or contributions to the code are highly encouraged. Contacts: paulmwaura254@gmail.com}

Licence

{MIT License. See below for more details on licensing.}