Breast Cancer Wisconsin Data Report : In this project created a Report of various Machine Learning Tools used to do the task of Prediction, Classification and Regression.

In this used :

• K - Nearest Neighbour Algorithm for Classification of instance of data in Recur and Non Recur Patients.
• K - Means Algorithm for Clustering and used elbow method for selecting a suitable K in two clusters.
• Simple Linear Regression using Cross Validation

Machine Learning Visualiser Application : In this Project made modules to visualise particular algorithms taking data in csv format as Input.

It can currently support

• Polynomial Regression using QR Factorisation
• Linear Regression using QR Factorisation
• K - Means Clustering
• Other Features are under development

Other R Apps : This directory conatins apps created for the purpose of better understanding the working of the shiny apps.

Search Engine in R : This directory contains the code for the search engine build using R. In this I had used tf-idf for document relavancy with the search query.

geodata : This directory contains the code to the Capston Project from Coursera that I had completed successfully. Using the Google Geocoding API with a Database and Visualizing data on Google Map. In this project, we are using the Google geocoding API to clean up some user-entered geographic locations of university names and then placing the data on a Google Map.

gmane : This directory contains the code to the 2nd Capston Project from Coursera. In this task was to analyze an EMAIL Archive vizualizing the data using the D3 JavaScript library.

pagerank : This director contains the code for the 3rd Capston Project from Coursera. In this task was to create Simple Python Search Spider, Page Ranker, and Visualizer which I had completed successfully ;)