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Type: Organization
Type: Organization
Creating 100 Projects in 100 Days Challenge
Part 2 cs247 project
Homework solutions of Intro to ML course at MIT Spring 2018
Solutions to some of my solved programming problems of icpc, codejam ...
Papers on Computational Advertising
A Ruby framework for building telephony applications
I have solved coding challenges in Codesignal/codefight in C++, Javascript, Java, Python
:alarm_clock: AI conference deadline countdowns
airbnb coding question
Analyze AirBnB public data for San Francisco to answer the question 'What makes people choose your AirBnB home?'
This is a question to test your AirBnB Server Knowledge using ruby.
Answering some questions on AirBnB date from San Francisco
Data collection for Airbnb listings.
AirBnB Interview
Welcome to the Exploratory Analysis of the Airbnb Dataset! In this project, we aim to understand Airbnb rental landscape in New York City through exploratory analysis on the Airbnb dataset. Through static and interactive visualizations, we try to answer the below questions: How do prices of listings vary by location? How does the demand for Airbnb rentals fluctuate across the year and over years? Are the demand and prices of the rentals correlated? What are the different types of properties in NYC? Do they vary by neighborhood? What localities in NYC are rated highly by guests? What makes a host Super host? Do regular hosts and super hosts have different cancellation and booking policies? Are there any common themes that can be identified from the free-text section of the reviews? What aspects of the rental experience do people like and what aspects do they abhor? The data files that have been uploaded are compressed versions since they exceed Github's 100Mb limit. You'll need to extract these files before you run the code.
Airbnb Prices
Studying the data from AirBnb to answer questions around price
The objective of this report is to find hidden insights from publicly available data of Airbnb and Zillow and further provide recommendations on which zip code have the highest return ratios within New York City and what are the most significant factors contributing to the revenue. Our goal is to help develop a data product and tailor client’s data strategies, whose part of its business model relies on short term rentals, to the market demand. Data visualization and predictive statistical models would be employed in the report to better answer our business questions.
Project on Airbnb Price analysis which turn hard data into useful insights and compelling stories. Following questions can be answered based on this price analysis - What causes difference in Price listing ? Where to invest a property in San Fransisco? What is the seasonal pattern of rental prices? Visualizing sentiment analysis, customer satisfaction and different features.
An analyst report for AirBnb dataset, this project aims to follow the CRISP-DM to address the three questions which related to business or real-world applications.
Airbnb interview question solve
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.