travisdhuang Goto Github PK
Name: Travis Huang
Type: User
Bio: DS&Python_Instructor@GeneralAssembly
Location: LA
Name: Travis Huang
Type: User
Bio: DS&Python_Instructor@GeneralAssembly
Location: LA
MSSQL port of 2014 OLTP (non-DW) AdventureWorks Cycles database
Adventure Works MySQL with FKs
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
An NLP workshop about concrete solutions to real problems
General Assembly's Data Science course in Washington, DC
General Assembly's Data Science course in Washington, DC
Exploratory data analysis using python for used car database taken from kaggle
πData Analysis Workshop
MySQL with the Microsoft AdventureWorks sample database in Docker
Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.
Machine Learning Study on a Dataset of Epicurious Recipes
Font files available from Google Fonts
Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.
Exercise on K-Nearest Neighbor using Scikit-Learn
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Python codes for common Machine Learning Algorithms
Plain python implementations of basic machine learning algorithms
The repository for all of my MySQL learning exercises, practiced using the AdventureWorks and Sakila question sets from SQLZoo and MySQL.com, respectively.
Tutorial: Natural Language Processing in Python
Educational material on using the TensorFlow Estimator framework for text classification
Overview of NLP tools available in python
Color schemes for default Mac OS X Terminal.app
Scikit-Learn's linear regression extended with p-values.
python interface to julia
The "Python Machine Learning (1st edition)" book code repository and info resource
iPython tutorials for NLP, ML, AI in Python
Lectures on scientific computing with python, as IPython notebooks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.