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ab_testing

:date: :pencil2: A/B Testing / Analysing the effect of 'free trial period' for Udacity students to measure whether they enroll or continue to finish a course or not

advanced-quantitative-marketing

Empirical quantitative marketing models for PhD level marketing students

advanced-quantitative-marketing-1

37902 Advanced Quantitative Marketing - Pradeep Chintagunta

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bayesian-and-numerical-basics

Introduce necessary Bayesian and numerical knowedge required to PhD students in Economics and Quantitative Marketing

bellman

code for numerically solving dynamic programming problems

blp-python

BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

d3-jupyter-tutorial

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datavisualization_with_d3

:baseball: :bar_chart: D3 - Visualization/ In this project I perform an explanatory data analysis on performance of baseball players based on their weight, height and handedness

datawrangling_openstreetmap

:house_with_garden: :traffic_light: Python - SQL / Wrangling and cleaning up the OpenStreeMap data from San Francisco area and running queries on it using SQL

dynamic-programming

A collection of interesting dynamic programming problems

guadagni-little-1983-python

Recreation of a dataset similar to Guadagni and Little 1983, and estimation of the parameters using a custom implementation of mixed logit

industrial-organization-hw-example-two

Here you will find the files for an assignment I completed with another student for a graduate level Industrial Organization course. The assignment replicates parts of John Rust's 1987 paper "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zucher" published in Econometrica Vol. 55, No. 5.

intro-to-d3

a D3.js tutorial

john-rust-1987-python

Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.

learndatascience

Open Content for self-directed learning in data science

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-1

machine-learning-r-tutorial

A tutorial of machine learning using R.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinelearning

Basic Machine Learning and Deep Learning

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mpecvsnfxp

The code for the paper "Constrained Optimization Approaches To Estimation Of Structural Models: Comment" by Iskhakov, Lee, Rust, Schjerning and Seo. Econometrica, 2015.

nlp-demo

nlp相关实验

nyc-citibike-data

NYC Citi Bike system data and analysis

openstreetmap-toronto

Wrangling and Analysis with Python and SQL

project

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource