The analysis for the education given the economy of India.

In this document I'll be showing you how to conduct a Metropolis-Hastings sampling to generate a random sample in case of standard normal distribution and RW-Metropolis sampling in case of Laplace distribution.

In this file I've updated my previous work on hypothesis testing and confidence interval calculation and enhanced it further by adding summary of tests in form of a markdown table.

In this case study, I've used diabetes dataset and then applied several machine learning techniques (k-NN, SVM, RF, etc.) in order to predict the model having the best accuracy.

In this project, I've made the list of all popular sampling distribution and their tests. I've performed basic testing of hypothesis, plotted the critical region and found the confidence interval. It's a brief summary testing and confidence interval

This is a set of multiple questions that might be a brain teaser for someone looking to master R code (especially helpful if you'd like to see how loops and conditional statements work together).

I've done the Logrithmic regression on a simple dataset via R.