jerrywang0928 Goto Github PK
Name: Zhe Wang
Type: User
Company: Columbia University
Bio: M.S. Data Science student at Columbia University. Expected Graduation: Winter 2023
Location: New York
Blog: zhe-wang.com
Name: Zhe Wang
Type: User
Company: Columbia University
Bio: M.S. Data Science student at Columbia University. Expected Graduation: Winter 2023
Location: New York
Blog: zhe-wang.com
Taking a look at 311 complaints, we can see that a majority of the complaints are about street conditions, unsanitary conditions, and plumbing issues- all which could be considered an infrastructure issue. One particular type of problem that NYC faces that we hope to address is its street conditions, racking up a total of 93,270 complaints to 311 in just the year 2017 alone. As citizens who ride on the streets of New York daily and are frustrated with the conditions, we as data analysts were determined to figure out why the street or road conditions were so bad. We plan to use Street Pothole Work Orders and/or a weather dataset in combination with the street conditions complaints from 311 to dig deeper into the issue.
All the Chrome Extensions from the Youtube tutorial series!
CS224n Reading Notes in Chinese 中文阅读笔记
Python script that automates CSV file imports to a Google BigQuery database
Identify and Recommend Top 1000 Customer to Target from Datasets
Data Glacier Project Internship
Database ELT tool
Source for self-paced DS learning path
Fake News Detection using Machine Learning Algorithm i.e naive Bayes. Model-2 Contains the same thing as LSTM.
The project is GAFA stock analysis. [GAFA: Alphabet (GOOG), Amazon (AMZN), Facebook (FB), and Apple (AAPL)]. We are going to try to analyze the stock prices of GAFA over the last 5 years. We will come to a conclusion about how they performed, the corelation between each of these four companies, which one earned the most profit, which one was most stable.
What is the problem? As the HR department in big data companies, it’s important to know which of current employees are planning to leave the company, the reason behind it and takes corresponding actions. How can we do it? The goal of this task is building model(s) that uses the current credentials, demographics, experience to predict whether a current employee is looking for a new job or not. It’s a classification problem. It helps to prevent the loss of precious human resources, feedback of the company current working environment and gives guidance in the future recruiting.
Practical MLOps for Data Scientists , Machine Learning & DevOps Engineers - Implement MLOps - Deploy Models and Operate
Applied machine learning group project on H&M dataset
Singapore Condo Rental Prices - From Data Acquisition to Prediction
test
Please visit: https://www.kaggle.com/jerrywang96/us-covid-19-eda-exponential-arima-prediction
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.