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Name: DJ
Type: User
Bio: Data Science and Machine Learning
Name: DJ
Type: User
Bio: Data Science and Machine Learning
This project is to analyze and compare Airbnb listing price in Boston and Seattle, to find any trends, and to identify what factors affect the Airbnb listing price.
Keep learning something new
During disaster events, sending messages to appropriate disaster relief agencies on a timely manner is critical. Using natural language processing and machine learning, I built a model for an API that classifies disaster messages and also a webapp for emergency works.
Contains files related to content and project of DSND
Contains files related to content and project of DSND Term 2
The goal of this project is to help a fictitious charity organization (CharityML) to develop a supervised learning model that can accurately predict whether an individual makes more than $50,000 annually. Understanding an individual's income can help this charity better understand which potential donors they should reach out and the amount of donation to request.
This project is to use time series forecasting techniques to find the trend and future monthly vehicle sales in the United States.
The goal of this project is to help a mail-order sales company in Germany to identify segments of the population that form the core customer base. These segments can then be used to direct marketing campaigns towards audiences that should bring high expected returns.
This project uses pre-trained neuron network densenet121 and trains an image classifier to recognize 102 species of flowers with 89% accuracy.
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Bonus materials, exercises, and example projects for our Python tutorials
This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like. Recommending articles that are most pertinent to specific users is beneficial to both service providers and users.
A minimal Jekyll Theme to host your resume (CV)
Preventing churn is key to improving revenue for Sparkify, a subscription-based company (fictitious). This project is to analyze data from Sparkify to build a model to predict user churn. First, a sample dataset (128MB) was used on a local machine to explore relevant features and develop a working model. Then similar steps were used to develop a final working model for the full dataset(12GB) on the AWS cloud.
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
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.