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Name: Yang Lei
Type: User
Company: Bank of America
Bio: Data Scientist/Data Engineer with R&D ,DevOps expertises in AI, ML, Big Data, Autonomous Driving and Algorithm Trading
Location: New York, New York
Name: Yang Lei
Type: User
Company: Bank of America
Bio: Data Scientist/Data Engineer with R&D ,DevOps expertises in AI, ML, Big Data, Autonomous Driving and Algorithm Trading
Location: New York, New York
advanced SQL coding practices
Apache Beam Data Pipeline Building for Data processing at Scale
A simple learning sample of execution of logistic regression using PySpark library
Association Rules for Market Basket Analysis using R
Finding Lane Lines On the Road
Build Machine Learning Models for Loan Default Prediction using different algorithms including Decision Tree, K Nearest Neighbor,Support Vector Machine, Logistic Regression. And then evaluate the different model performances to choose the best one for production.
Cluster analysis using the dataset of mtcars in R
A different method from gradient descent to find minimum function
A simple function to compute Co-variance matrix
A Python Scraping Program that collecting the craigslist used car information to save or money for users
A research for customer retention prediction using different algorithm in R
SEC listed security issuers fiancial, market, profile, and risk data collection and processing automation
deploy data and machine learning applications using Streamlit
A Python Web-Scraper can collect and send desirable job posting information fast and automatically to boost the opportunity of getting the job
End to end MLRun demos
Train and Deploy New Born Baby weight Machine Learning Model on GCP using BigTable and GCP ML Engine
Python codes for sending emails automatically
A simple code snippet for event dispatcher function
This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.
It's cretical to get an optimized model training and testing enviroment to boost model performance technically as well as economically
a simple sample of gradient
bigdata, data pipeline, hive, data pipeline creation, table partition, data engine
Charts in form of HTML and PNG
a deep learning neural network for cat images detection
Deep Learning for humans
Building a in database prediction model to leverage SQL Server 2016 as a Scoring Engine to predict "bad" loans
Machine Learning code samples using Python Sklearn library
Model building and Optimization with Pytorch and Python
A repository for storing personal study records
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.