Tractor Sales analysis and forecasting using various models

Proof of CLT through Exponential Distribution

Effect of Vitamin C on Tooth Growth of Guinea Pigs by Hypothesis Testing

Regression Analysis on Mtcars Dataset in R

Statistical Inference in R from JHU Coursera

This is an R Markdown document consisting basic methods oF *data analysis, stastical inFerence, data visualization* and some other inbuilt Function oF R.

Using devices such as Jawbone Up, Nike FuelBand, and Fitbit it is now possible to collect a large amount of data about personal activity relatively inexpensively. These type of devices are part of the quantified self movement – a group of enthusiasts who take measurements about themselves regularly to improve their health, to find patterns in their behavior, or because they are tech geeks. One thing that people regularly do is quantify how much of a particular activity they do. We use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways. More information is available from the website here: http://groupware.les.inf.puc-rio.br/har (see the section on the Weight Lifting Exercise Dataset).

John Hopkins University Data Science Capstone Project that utilizes Katz's back off ngram models for word prediction in a sentence entered by a user.

Exploratory Analysis on few blogs,tweets,news using ngram models.

Contains Instruction to use the mtcars shiny app efficiently using a GUI. The app can be found here https://himankjn.shinyapps.io/ShinyApp/

Nitesh Caesar's Palace on maps with its coordinates and marker using Leaflet library in R

This analysis uses NOAA storm database to analyse the effects of multiple weather evens on population health and economic losses in USA.

Using Singular Vector Decomposition Compressing images in R.