rajvseetharaman Goto Github PK

business-intelligence---etl

An end-to-end BI system for a product manufacturing company, which analyzes its historic sales data and derives actionable insights using performance metrics like profit margins and % of target sales. Utilizes dimensional modeling, data warehousing, and ETL concepts, and the tools Visio, MS-SQL, SSIS, and Tableau

cat-pictures-classification

Logistic regression model which classifies images into ones that contain a 'cat' or do not contain a cat. Uses Gradient descent to optimize (minimize) the cost function.

data-science-1

Exploratory data analysis , Machine Learning

diamond_price_prediction_shiny

Using the linear model to predic the price of a diamond using predictors like number of carats, color, clarity, and the dimensions of the diamond. Created a shiny app to visualize the model.

excel_calculator_recursion

Excel like calculator in Python which utilizes the concept of Recursion. Utilized the Stack Data structure to implement recursion.

getoldtweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

hackerrank---data-structures-and-algorithms

Hackerrank Data Structures and Algorithms challenges - Cracking the Coding Interview

husky_football_games_python_data_visualization

This project uses the Python Turtle library to create a visualization of the scores of Huskies against its opponents.

machine-learning-class-ds2

Machine Learning class assignments

mnist-digit-classification-neural-net

Basic 2 layer Neural Network which classifies MNIST digits. Implemented the forward and back propagation algorithms for gradient descent.

module12-functional-programming

Module 12: Functional Programming

module13-apis

Module 13: Accessing Web APIs

module17-javascript

Module 17: JavaScript

module18-web-programming

Module 18: Web Programming

module19-d3-visualization

Module 19: D3 Visualizations

movie-trend-analysis

In this project, I used the open movie dB API to create a corpus movie and actor data. I analyzed the data to generate the popularity trend of various actors over time. The metric i used to measure popularity of the actor was the cumulative profit that the actors films made in a particular year. I also analyzed the popularity of the various movie genres to understand what genre performs best during which months. I used the Bokeh data visualization library to create the visualizations.

nyc_flights

player_base

Cricket Player system using XML

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

rajvseetharaman.github.io

regression_analysis

Linear models to help predict median house prices in Boston.

seattle-broadband-costs-test-d3

Visualization created using the D3 JavaScript library which helps compare the costs of different broadband providers in Seattle for different upload and download speed bands.

seattle_house_prices_regression_analysis

Analysis of house prices in Seattle and is relation to features like area, number of bedrooms and bathrooms, parking lot size using regression techniques.

ternarysearchtree

A ternary search tree with routines for addition and deletion of nodes from the tree

time-management-vs-productivity-research

Quantitative and Qualitative research on relationship between time management practices and perceived productivity of Masters students

twitter_sentiment_analysis

This code takes as input a Twitter User name and does a basic sentiment analysis on the Tweets posted by the user.

twitter_sentiment_analysis_webapp

This Web Application takes as input a Twitter User name and does a basic sentiment analysis on the Tweets posted by the user. Uses the Twitter REST API.

united_airlines_incident_impact

Analysis of the United Airlines incident in April 2017 using analysis of Twitter data, United Airlines stocks and NYT headlines using Python