yuehhanchen Goto Github PK
Name: Yueh-Han Chen
Type: User
Bio: Data Science @ UC Berkeley
Location: Berkeley, California
Blog: john-chen.cc
Name: Yueh-Han Chen
Type: User
Bio: Data Science @ UC Berkeley
Location: Berkeley, California
Blog: john-chen.cc
Conducted A/B tests and regression analysis to examine the conversion rate difference between the control and experiment groups.
Use Regression to perform A/B testing.
A crawler for downloading all the pictures of men jackets, which is higher than 2000 dollars from SSENSE(fashion website)
Data Cleaning Assistant is a web application that uses OpenAI's GPT 3.5 model to suggest data cleaning tasks for a given dataset.
Modeled the data with Python and Apache Cassandra, which enabled the analytics team to write queries and answer questions like “Give me every username who listened to a given song”
Data-Wrangling-Practice
Use pandas, Bayesian statistics, and Hypothesis testing to see if left-handed people actually die earlier than righties.
Comparing Random Forest, Gradient Boosting, and XGBoost to select the best model to predict potential donors for a Charity.
Unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany
Built a K-Means Model to detect if a banknote is genuine or forged.
Comparing KMeans, Hierarchical Clustering, and GMMs and selecting the best model to segment customer information using the Silhouette score.
Used python(numpy, pandas, matplotib, and seaborn) to analyze the data from h1bdata.info to understand the situation of H1B for marketing jobs.
Using Python to conduct EDA, perform statistical analysis, visualize insights, and present data-driven solutions to Chief Marketing Officer in the company
Use Pandas, Matplotlib, and Seaborn to conduct exploratory data analysis by Univariate, Bivariate, and Multivariate visual exploration.
Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer Churn’ dataset.
Focus on Exploratory Data Analysis
Use Python, Pandas, and Matplotlib to analyize “Trending YouTube Video Statistics”, including Data Assessing, Data Cleaning, EDA, Visualization and Drawing conclusion.
Analyze sales data from more than 16,500 games.
Use Twitter Api and Pandas to gather and conduct data cleaning
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.