## Linear Programming

Linear programming in R along with sensitivity analysis and cool visualizations.

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# Author: Achyuthuni Harsha

## Linear Programming

## Linear regression

## Logistic Regression

## KNN imputation

## Chi Square test of independence

## Chi-Square goodness of fit test

## Analysis of variance (Anova)

## Time series EDA

and machine learning

Linear programming in R along with sensitivity analysis and cool visualizations.

A complete analytical journey of linear regression. From EDA, model building, model diagnostics, residual plots, outlier treatment, co-linearity effects, transformation of variables, model re-building and validation for Boston housing price prediction problem.

A complete walk through of logistic regression. From EDA to model diagnostics with cool plots.

Handling missing values in original mtcars data set by imputation using KNN algorithm.

This post deals with Chi Square test of independence. Along with the R code, a contingency table, and mosaic plot are also presented.

A brief introduction to ChiSquare goodness of fit test using attendance data. Codes for Chi-sq plots along with post-hoc Cramers V are available.

Anova hypothesis test on unemployment data. Post hoc analysis and visualisations are presented.

Tutorial on Time Series EDA. Contains time plot, seasonal plots and correlogram plots (ACF) for in-time problem with reusable R code.