Niranjan Patil

test

November 15, 2016 – November 15, 2016

test — GitHub repository

DataMiningUsingTwitter

February 2, 2016 – February 2, 2016

DataMiningUsingTwitter — GitHub repository

Mining_TwitterData

January 28, 2016 – February 2, 2016

Mining_TwitterData — GitHub repository

Analyse-Enron-Email-Dataset-using-Hadoop

January 18, 2016 – January 18, 2016

Analyse-Enron-Email-Dataset-using-Hadoop — GitHub repository

Mining-YouTube-using-Python

October 10, 2015 – October 14, 2015

The goal is to fetch the data from YouTube channel using API on particular search term and

Coursera-Getting-and-cleaning-data

September 20, 2015 – October 14, 2015

Quiz

k-Means-clustering-using-MATLAB

September 16, 2015 – September 16, 2015

I have done coursework which involved writing a program in MATLAB that implements the K-means clustering algorithm and testing it on 2 different datasets of gene expression data and genetic information on hereditary diseases. The relationships between the points in the datasets examined using different distance metrics and correlation.

Ensemble-Methods-using-R

September 3, 2015 – October 14, 2015

I have done my individual project (dissertation) on ensemble methods. In which I first did the background study on different ensemble methods and then implemented Boosting, AdaBoost, Bagging and random forest techniques on underlying machine learning algorithms. I used boosting method to boost the performance of weak learner like decision stumps. Implemented bagging for decision trees (both regression and classification problems) and for KNN classifier. Used random forest for classification trees. I have implemented a special algorithm of boosting called “AdaBoost” on logistic regression algorithm using different threshold values. Then plotted the different graphs like an error rate as a function of boosting, bagging and random forest iterations. Compared results of bagging with boosting. Analysed the performance of classifier before applying ensemble methods and after applying ensemble methods. Used different model evaluation techniques like cross-validation, MSE, PRSS, ROC curves, co

datasciencecoursera

June 8, 2015 – June 8, 2015

datasciencecoursera — GitHub repository

test-repo

June 8, 2015 – June 8, 2015

test-repo — GitHub repository