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ab-testing-survey-randomization-app

Any distribution of product variant requires randomization and it needs to be done in natural way. This app let's you randomize the distribution of your product variants(in form of website surveys) in natural manner.

advanced-regression-techniques---house-price

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

algorithms

angular-project---to-do-list

A simple to do list web based app

associative_mining_rule-a_priori_algorithm

Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern in what the customers buy. For instance, mothers with babies buy baby products such as milk and diapers. Damsels may buy makeup items whereas bachelors may buy beers and chips etc. In short, transactions involve a pattern. More profit can be generated if the relationship between the items purchased in different transactions can be identified.

bikepgh---suds

cohort-analysis-and-customer-segmentation-using-unsupervised-learning

Performed cohort analysis to understand customer trends and prepared customer segments. Learned how to calculate customer retention, RFM(Recency, Frequency, Monetary) metrics and utilized K-Means clustering to form the customer segments. I found this project very much intuitive and similar steps can be followed in most of the businesses if we have the purchase history of customers.

data-science--cheat-sheet

Cheat Sheets

duplicate-question-identification---siamese-network

exploratory-data-analysis-on-forest-fires

Contributor - Sagnik and Daniel

generating-keywords-for-google-adwords

Creating a prototype set of keywords for search campaigns for their respective product’s section. This project is in progress and it's being built on Python.

gitignore-and-environment-variable-test

No code, just for testing.

learning

Data Science Learning Materials

leetcode

The problem statements from leetcode.com

mantisshrimp

name-game--gender-prediction-using-sound

Grey and Gray. Colour and Color. Words like these have been the cause of many heated arguments between Brits and Americans. Accents (and jokes) aside, there are many words that are pronounced the same way but have different spellings. While it is easy for us to realize their equivalence, basic programming commands will fail to equate such two strings. More extreme than word spellings are names because people have more flexibility in choosing to spell a name in a certain way. To some extent, tradition sometimes governs the way a name is spelled, which limits the number of variations of any given English name. But if we consider global names and their associated English spellings, you can only imagine how many ways they can be spelled out. One way to tackle this challenge is to write a program that checks if two strings sound the same, instead of checking for equivalence in spellings. We'll do that here using fuzzy name matching.

natural-language-processing-concepts

nlp-projects

portfolio-telling-stories-using-data

This repository contains the collective work which is being performed in the course 'Telling Stories with Data'

predicting-customer-churn

predicting-harmful-cases-of-breast-cancer

Contributed by Andrew and Sagnik.

predicting-the-potential-donors

Inviting and insisting people to donate for an organization is a costly affair. We can reduce the cost by predicting who will donate based on the past data. In this project, I have utilized logistic regression to calculate the probability of a person to donate. I have included those people as a target where the percentage of donation is greater than 10 percent.

pydata-book

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

quora-data-challenge

Quora data science challenge

r-programs

Important concepts in R and Statistics

sales-forecasting

Addressing the business problem to forecast the sales of different stores and departments across multiple days of year.

sentiment-classification

sql

Conceptual SQL Scripts

time-series-forecasting

This repository is intended to learn the basics of time series forecasting techniques.