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projectfile

A list of projects completed in the course of the Business Analytics program at UT Austin.

pydata-seattle-2017

Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

python-exercises

Python exercises done for Data Analytics Programming class - UT MSBA Summer 2018

python-git-test

python-programming-mis-s381n

These python assignments were a part of Data Analytics Programming coursework

python-working-with-predictive-analytics

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_data_science_school

python lecture for data science school

r-for-data-analytics

Course homepage of "Programming Language for Data Analytics" @Korea University

r-for-marketing-research-and-analytics

The data and code for the book 《R for marking research and analysis 》 published by Springer

r-novice-inflammation

Software Carpentry introduction to R for novices using inflammation data.

r_tutorials

R Statistics tutorials

recommendation

Recommendation System

repos

store project

sifarish

Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

socialmedia

sql

Assignements of various SQL courses (Introduction to Data Science; Stanford Database course)

sta-380-hw2

sta380-course-material

STA 380: Predictive Modeling course material

sta380-predictive-modeling

Assignments for UT Austin's STA380 Predictive Modeling class

sta380_assignments

STA380, Part 2: Solutions for assignments

sta380_exercise2

sta380part2

sta_380_github

statistics-dsci6002

Statistics-DSCI6002

strategic-business-analytics-with-r

Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org

taiwan-credit-default-analysis-in-r-

Predicting Defaulting of Taiwan Credit Card Holders

telecom-churn-model

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

Text Analytics using Python- contains python notebooks

text-analytics-

textanalytics

UT Austin의 Text Analytics course