falgunib Goto Github PK
Type: User
Bio: Pursuing MS in Computer Science from State University of New York, Buffalo. Graduating Jan '17.
Location: New York
falgunib's Projects
analyzing-streaming-data
Analyzed Twitter Streaming Data on elections & created a live web application dashboard showing statistics on which candidate was popular that week and right now, in real time along with some live tweets.
boolean-query-processing-based-on-postings-list
In this Project, postings list from the RCV1 news corpus has been used (http://www.daviddlewis.com/resources/testcollections/rcv1/). This project implements modules that return documents based on term-at-a-time with the postings list ordered by term frequencies, and document-at-a-time with the postings list ordered by doc IDs for a set of queries.
classification-regression
Implemented Gaussian Discriminators like LDA & QDA. Experimented with Linear Regression, Ridge Regression, Gradient descent for Ridge Regression and Non-Linear Regression.
data-mining-apriori-association-rule-mining
Apriori Algorithm & Association Rule Mining on gene dataset
data-mining-classification-algorithms
Decision Trees, Random Forests, Boosting
data-mining-clustering-algorithms
K Means, K Means Map Reduce, Markov Clustering, DBScan, Hierarchical Agglomerative Clustering Algorithms.
exploratory-data-analysis-of-new-york-times-dataset
Exploratory Data Analysis of New York Times Dataset
exploratory-data-analysis-of-real-data-from-realdirect-housing
Exploratory Data Analysis of real data from RealDirect Housing
google-interview-university
A complete daily plan for studying to become a Google software engineer.
handwritten-digits-classification-using-neural-networks
Implemented a Multilayer Perceptron Neural Network and evaluated its performance in classifying handwritten digits.
logistic-regression-classification-using-support-vector-machines
Implemented Logistic Regression & Classification using Support Vector Machines. Also implemented direct minimization of multi class Logistic Regression.
parallel-processing-of-classroom-data-using-hadoop-map-reduce
Implemented a bunch of programs on UB Course & Classroom dataset to decipher meaningful patterns & provide solutions to problems such as classroom scheduling etc.
simpledht
Implemented Simple DHT based on chord which facilitates ID partitioning/re-partitioning, node joins, ring based routing.
simpledynamo
Developed a group messenger app which implements a simple Dynamo with partitioning, replication and failure handling.
twitter-data-acquisition-for-eda
Twitter Data Acquisition For EDA
visualization-of-university-at-buffalo-course-classroom-data-using-tableau
Visualization of Data Analyzed in Classroom Dataset Map Reduce Operations Using Tableau
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