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A list of projects completed in the course of the Business Analytics program at UT Austin.
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
Python exercises done for Data Analytics Programming class - UT MSBA Summer 2018
These python assignments were a part of Data Analytics Programming coursework
Data can tell many stories: where it came from and where it’s going. Predictive analytics gives programmers a tool to tell stories about the future: to extract usable information and make accurate predictions. These predictions, in turn, allow business to make more informed, impactful decisions. Join Isil Berkun, data scientist, to explore predictive analytics with Python. Discover how to prepare data—fill in missing values, perform feature scaling, and more—and use prebuilt Python libraries to make and evaluate prediction models. She describes what models to use when, and explains the concepts in such a way that you can immediately apply them to your own work. By the end of the course, you’ll be able to leverage Python libraries like pandas and NumPy and choose the right prediction models for your projects.
python lecture for data science school
Course homepage of "Programming Language for Data Analytics" @Korea University
The data and code for the book 《R for marking research and analysis 》 published by Springer
Software Carpentry introduction to R for novices using inflammation data.
R Statistics tutorials
Recommendation System
store project
Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm
Assignements of various SQL courses (Introduction to Data Science; Stanford Database course)
STA 380: Predictive Modeling course material
Assignments for UT Austin's STA380 Predictive Modeling class
STA380, Part 2: Solutions for assignments
Statistics-DSCI6002
Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org
Predicting Defaulting of Taiwan Credit Card Holders
Project for Part 1 of Intro to Predictive Modeling course in MSBA program covering supervised learning. Completed in a group with Won Lee, Amy Dang, and Abhinaya Ananthakrishna.n
Text Analytics using Python- contains python notebooks
UT Austin의 Text Analytics course
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.