Coursera Machine Learning Assignment

Sample Iris decision tree using rattle package

Shiny Application Reproducible Pitch

Plotly using volcano dataset

Leaflet package is used to create google maps

Business Case : Provide the gold price using descriptive methods and show it using ROC view point (Data View Plotted from 2017 onwards)

Explains about the organisation

GDP Percapita Using Plotly package with inbuild gapminder package

Descriptive Analysis using ggplot package

Text Mining - OTT Movie Reviews

Below methods are used statistically for Benchmark purpose Seasonal Naive Model Fit ETS Model ARIMA model

This gives the detailed analysis about customers with respect to purchase

This plot gives the frequency of each customers and clustered into loyal vs not satisfied customers

Learning Project

Learning purpose

This data analysis is taken from the website data flair and this is only for learning purpose.

data = read.csv("F://Sample CSV Files for statistics//Absenteeism_work.csv",header = T) > head(data) ID Reason.for.absence Month.of.absence Day.of.the.week Seasons Age Absenteeism.time.in.hours 1 11 26 7 3 1 33 4 2 36 0 7 3 1 50 0 3 3 23 7 4 1 38 2 4 7 7 7 5 1 39 4 5 11 23 7 5 1 33 2 6 3 23 7 6 1 38 NA > boxplot(factor,data$Absenteeism.time.in.hours,notch = T, xlab = "Month", ylab = "Time of Absenteism")

Histogram of Growth rate in Diaphenia