sagnikrana Goto Github PK
Name: Sagnik Rana
Type: User
Company: AtWork Systems
Bio: Business Intelligence | Data Science | Machine Learning | Carnegie Mellon University, Pittsburgh
Location: Herndon, VA
Name: Sagnik Rana
Type: User
Company: AtWork Systems
Bio: Business Intelligence | Data Science | Machine Learning | Carnegie Mellon University, Pittsburgh
Location: Herndon, VA
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.
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.
A simple to do list web based app
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.
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.
Cheat Sheets
Contributor - Sagnik and Daniel
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.
No code, just for testing.
Data Science Learning Materials
The problem statements from leetcode.com
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.
This repository contains the collective work which is being performed in the course 'Telling Stories with Data'
Contributed by Andrew and Sagnik.
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.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Quora data science challenge
Important concepts in R and Statistics
Addressing the business problem to forecast the sales of different stores and departments across multiple days of year.
Conceptual SQL Scripts
This repository is intended to learn the basics of time series forecasting techniques.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.