chengchen-steven Goto Github PK
Name: Cheng Chen
Type: User
Company: PayPal
Bio: Sr Data Scientist at PayPal
Location: San Jose
Name: Cheng Chen
Type: User
Company: PayPal
Bio: Sr Data Scientist at PayPal
Location: San Jose
We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks
The city of Los Angeles would like to get analysis for the 311 call center tracking data.
I will be examing an A/B Testing Experiment in this repository and going through all the standard analyses.
Applying fraud analysis in the NY Property Tax dataset with 1048575 observations and 30 variables
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
CIS 550 Final Project
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
The project is focusing on user acquisition through digital channels like Facebook. In lending business, companies want to acquire users that have a higher likelihood of repayment. However, in many financially underserved places, many people have no financial identity like a credit score. So taking the first risk is quite a thing here.
This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.
Converts JSON to an HTML table
A typical way of detect fraud in credit card transactions; See read me for more details;
Public repo for DeepLearning.AI MLEP Specialization
A fast, efficient universal vector embedding utility package.
Build a movie recommender system using Collaborative Filtering by leveraging Spark in Scala
In this repository, I will be writing a gradient descent algorithm to solve a logistic regression problem and compare the result with the statistics packages. Start simple and end with regularization.
Source code for profiles REST API course
Python Deep Dive Course - Accompanying Materials
Visual measurement is a construction positioning method developed in recent years. Combining visual measurements with on-site Guiyang subway construction, this paper proposes an automatic positioning method of roadheader excavation, replacing human vision by machine vision, and changing the current situation in tunnel excavation. First, a laser beam emits from a distance to the tunnel face. Pictures taken by a camera set on the body of roadheader are analyzed digitally based on RGB system by building a computer model by using MATLAB. The model extracts spots’ centers. Then, based on mathematical analysis of digital image, model gives the decoupled eigenvalues of positional relationship between the actual position and the standard position of roadheader in three principal directions, so as to effectively guide the construction and implement automation. This paper also makes experiments to compare characteristics of single laser spot by RGB decomposition, test model’s accuracy in extracting image of laser beam, and use a similar model to analyze the impact of camera distortion in the actual work.
Teaching tools for 30 Oct 2020 Production ML Seminar
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.