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Name: Zhongling Jiang
Type: User
Bio: I am a data science lover and is exploring into machine learning, deep learning and AI.
Name: Zhongling Jiang
Type: User
Bio: I am a data science lover and is exploring into machine learning, deep learning and AI.
The repo contains projects on classical and Bayesian AB testing.
This repo contains code for solving customer segmentation problem and cross-sell problem on ecommerce data.
Database design project for Student Store, the content includes: EER Diagram, Data Schema, Generated Data, Sample Queries and Normalisation. All data used are generated artificially. Collaborators: Mimi, L., Nicky, L., Ethan, K. Emma, H., Annie, S., Jinglin Z., Derek S., Lucie K., YunHee, K.
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
University courses relationship mapping. Generate graphical relationships across different clusters of courses. Use of text analysis, hierarchal clustering.
Exploration and Visualization for Electronic Products
The world's simplest facial recognition api for Python and the command line
Code used to predict emotions from the corresponding Kaggle Competition.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The project provides (1) a descriptive analysis of housing sales prices in different locations of King County, WA. (2) a lasso linear model that predicts housing prices with most variables given
Clustering Based Image Segmentation using Edward and PyMC3
Mirror of Apache Spark
A movie recommendation project that uses popular recommendation algorithm ALS. The project trains ALS both in its primitive form and through pySpark MLlib. Please see "notebook" folder for modelling details
VIP cheatsheets for Stanford's CS 230 Deep Learning
This project is about applying R and following the rule of scientific reproducibility to perform a complete modeling process on College Scorecard dataset (by U.S Department of Education) at https://collegescorecard.ed.gov/data/
Zhongling Jiang
The repo contains different types of statistical tests coded in Python and accompanied with some examples.
Facial emotional recognition project based on human face image dataset. Use of CNN, DNN , transfer learning and ensemble model to achieve good performance model. Collaborator: Samyak P., Noah G., Luke D., Ajay, R., Jeffery, Z.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Time series modelling project on Google Trend Dataset. The model used includes ARIMA and Exponential smoothing.
A series of tutorials on different approaches of building a recommender system. The dataset is 2019 Yelp Challenge.
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.