## Recently Published

##### Linear Programming

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

##### Linear regression

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.

##### Part and partial correlation

Understanding part (semi partial) and partial correlation coefficients in multiple regression model. Deriving the multiple R-Squared and beta coefficients from basics. Inspired from Business Analytics: The Science of Data-Driven Decision Making by Dinesh Kumar.

##### Logistic regression

Logistic regression using caret. validation using multiple tests and plots, insights, EDA and analysis. A complete analytical journey for solving classification problems.

##### KNN Imputation

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

##### Analysis of Variance

Anova hypothesis test to test if unemployment is similar across Bangalore. Post hoc analysis and visualizations are presented.

##### Univariate analysis

Tutorial on Univariate analysis which is the first part of EDA. Explained using in-time problem with reusable R code.

##### Multivariate analysis

Tutorial on Multivariate analysis which is the second part of EDA. Explained using in-time problem with reusable R code.

##### Web scraping in R

Explaining Class size paradox by web scraping placements data from Amrita University website.

##### Chi Square test of independence

Analyzing the safety of different types of vehicles in Bangalore by using a Chi Square test of Independence.

##### Chi-square goodness of fit test

Implementing Chi square goodness of fit test on R. Testing if a sampling distribution is Normally distributed or exponentially distributed.

##### One Sample Location test

z test and t test for .one sample location tests

##### Multicollinearity

Tutorial on Multicollinearity which is the third part of EDA. Plot of Correlation matrix and network for in-time problem with reusable code.

##### Recommendation Systems

Recommendation systems using associate mining