Sriniketh Vijayaraghavan's repositories
CookATour-2.0
This is the updated repo for CookATour
Stats-Project-1
This is my first statistics project analyzing the birthweight of babies based on other factors of the mothers.
Stats-Assignment-5
This assignment focuses on poisson regression and the generalized linear model
CookATour
This is my search engines project made for the class Web Search Engines. It plans single day trips for you in your neighborhood.
First-Django-Project
My first tango with Django
Interactive-Plots-with-d3.js
These are some cool visualizations using Instagram data about the city of New York
All-about-Linear-Regression
This is the assignment where I delved into Linear Regression and AIC, summary statistics and model selection
d3-labs
Code covered by the d3.js labs
Predicting-Donations-from-mailing-list-data
This is done to predict the amount of donations that will be obtained by targeting the optimal number of people using 5000$ assuming that each mail costs us 0.68$. In this project I use Random Forests, logistic regression and Decision Trees to compare results.
Recommender-System
The USI NYC Business Atlas Recommender system for the small business initiative
Statistical-Modeling-Inference-1
Contains codes regarding Naive Bayes', QQ plots & hitograms, Pearson & Spearman Correlation and density functions
A-Christmas-Carol
Short description of the fall semester with Julia Smith.
Sound-Analytics-Project
The final Project for souns analytics in Applied Data Science
Foundations-of-Urban-Science-Final
In this project we try to determine the correlation between the patent intensity vs the GDP of each MSA over 5 years.
Video-Analytics
The Final project for the video analytics assignment for Gregory Dobler
Restaurant-Reviews-and-Yelp-API
We are working with the Yelp API and the restaurant inspection open data for this data science projects. The collaborators are Sriniketh Vijayaraghavan and Douglas Steinberg.
Spatial-Analytics-Using-KD-Trees
Using the KD-Tree Data structure to determine the busiest intersections in Manhattan and so on. Includes visuals
GRA-Presentation
This is my presentation for the GRA work during the period of October-December 2014
Analyzing-Carbon-Emissions-in-US-Counties-MSAs
In this code, I am trying to determine the correlation between the popultion density of an MSA to the carbon emmision per person. If the slope is negative, then we can confirm that urban density is better for the environment with some certainity
MTA-Bus-Tracking-Codes
First attempt at using the MTA API to track buses in New York
Working-with-the-Twitter-API-example
Simple example of how to work with the twitter API
Working-with-NetworkX
First experience working on network science using small and simulated graphs
Job-Scheduling-Simulation---Undergrad-Code
Distributed Systems Project Code- Distributed Job scheduling of local and gang jobs through the use of backfilling
Pandas-Intro
Some small visualizations with Pandas and the NYC 311 Open Data
Starting-with-Julia
Working with Julia Basics- PyData Conference
spyre
a web application framework for python
monary-talk
Talk for Monary, adapted from
Markov-Matrices-and-Gaussian-White-noises
Applied Data science codes in ipython notebooks. Nice visuals