Data science capstone project

The goal of this report is to show the summary of the data, exploratory data analysis of the en_UD text files we have got them from week1, and to create a prediction algorithm. The 3 documents of text files we have downloaded are 1. en_US.twitter.txt 2. en_US.news.txt 3. en_US.blogs.txt

Practical Machine Learning Week4 assignment

developing data products assignment week4 of R-coursera presetation of shiny application http://vamshigvk.shinyapps.io/DDPW4

Analysis was done on Titanic data and predicted the survival of passengers using several models. Uploaded the resulted data on Kaggle and the accuracy of the predictions were like: Logistic Regression - 77.99% Decision Tree - 79.42% Random Forest Trees - 76.55%

Sentiment Analysis on Jane Austen books using janeausternR package

Infected, Recovered and Death stats by Corona virus across the Countries and Indian states

Recommends 10 movies for users who have rated more than cutting point ratings and similarly with movies which has enough number of ratings.

Boxplot and Heatmap plots using Plotly package for week3 assignment of developing data products

Developing data products week 2 assignment , our house in my home town.

Map from leaflet consists a marker on Vamshi's home with his linkedIn Profile as popup.

3d plot for trees dataset using plot_ly , type="scatter3d"

simple scatterplot of trees dataset using plot.ly package

We analyze the Growth of the tooth in length of 30 subjects when given two different supplements with 3 levels of dosages.

Compare theoretical and sample mean, variance, Confidence interval and prove this distribution is an approximately Normal distribution

Analysis of which types of events are most harmful with respect to population health and greatest economic consequences?

Analysis of steps with 5 minute interval from personal activity monitoring device