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a-b-testing-in-r

A/B testing (or split-testing) is a randomized experiment with two variants A and B. It includes application of statistical hypothesis testing (or two-sample hypothesis testing), as used in the field of statistics. A/B testing is a way to compare two versions of a single variable, typically by testing a subject's response to variant A against variant B, and determining which of the two variants is more effective.

analysing-nyc-felony-offenses-in-2019

In this exercise we will apply many of the multivariate statistics techniques on NYC felony dataset and see if their any association between the features.

analysing-sentiments-with-tweets

We will use NTLK package and Baye's theorem to analyse the tweets and predict if there is any depression or negative feeling noticed with the user.

analyzing-epidemics

The use of mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The dynamics of infectious diseases shows a wide diversity of pattern. In this exercise, we will look into these patterns precisely.

animated-charts-in-r

Till now we have figured some really cool graphing techniques, but imagine of you can make those graphs animate like a feature film.

attribution-modeling-in-r

Application on Markov Chain and Removal Effect (Attribution Modeling)

aws-athena

AWS Athena is a server less interactive querying service provided by AWS that is built on top of PrestoDb.

aws-lambda-and-kinesis

AWS Lambda, a server-less computation service provided by AWS

bayesian-data-analysis-in-r

Bayesian A testing for Swedish Fish Incorporated

big-data-setting-up-hdfs

Setting up big data hadoop distributive file system with Java, Pig, Hive and HBase.

building-your-own-chatbox

We will use NLTK(Natural Language Toolkit) to develop our own simple chatbox that will respond based on user queries using a defined corpus.

case-study-predicting-bankruptcy

Based on available data from bank and parameters to identify the variables that influence the most, predict the bankruptcy of the given financial model

case-study-predicting-earning-potential-using-the-adult-dataset

This is a machine learning case study used to predict the potential earnings of people in R for a given dataset.

certificates

All the certificates completed by me for different technologies and programming language

cis_9440_project_youtube-and-netflix-viewership-analysis

This is a repository to put together all the work for the final project from CIS 9440 - Data Warehousing and Analytics

clickstream-analysis-in-r

This R code is an example of analyzing Clickstream Data using Markov Chains and data mining SPADE algorithm.

complex-sql-exercise

SQL queries of all kind being put together as a single repository

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science-hacks-in-python-part-1

The aim is to help you quickly analyze the hack/code/trick and then use the attached code link to implement it yourself.

data-science-hacks-in-python-part-2

Simple hacks to speed up your Data Analysis

data-structures

A data structure is a particular way of organizing data in a computer so that it can be used effectively.

data-visualization-in-r-tufte

The idea behind Tufte in R is to use R - the most powerful open-source statistical programming language - to replicate excellent visualization practices developed by Edward Tufte.

debugging-ny-times-library

This is a web scrapping project and I am trying to gather info from NY Times using APIs

deep-learning-with-pytorch

PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab. It is free and open-source software released under the Modified BSD license.

dimensionality-reduction

In statistics, machine learning, and information theory, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables. Approaches can be divided into feature selection and feature extraction.

dissecting-yelp-dataset

This dataset is a subset of Yelp's businesses, reviews, and user data. It was originally put together for the Yelp Dataset Challenge which is a chance for students to conduct research or analysis on Yelp's data and share their discoveries. In the dataset you'll find information about businesses across 11 metropolitan areas in four countries.

epileptic-seizure-recognition

exercise-what-does-it-mean-to-be-a-man

Replicate visualization and analysis from a blog

exploring-sql-with-r

The idea is to use the SQL skills in R by converting data into relational database from text files and then using it to run queries to filter data by SQL

final-assessment-multivariate-statistical-methods

This is the final take home exam for all spring students enrolled with STA 9705.