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airline-entry-model

This is the project to estimate the entry game among airlines in US (based on the paper of Berry, 1992). The applied methods are Maximum Likelihood Estimator + Simulations

analytics-training-samples

Notebooks and code samples for analytics training. This codified my enthusiasm for continuous learning, exploring, and refining my mindset, skillet, toolset as a data practitioner.

atom-assignments

All assignments of DATAcracy ATOM Open class, which is free and aims to democratize Data Skills for Everyone. The skills includes end-to-end of a simple and small scale data solutions.

blp-python

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

books-library

📚e-books in PDF and ePub formats across a wide range of technology stacks and topics

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.

credit-model-tree

By the data set from 'Give Me Some Credit' (2012), this work is to use it to illustrate some useful techniques in Credit Scoring Modelling, namely: GLM, SMOTE, CARET, CHAID, and MOB.

customize-interactive-visual

Examples about customized visualization in Python, also interactive plots and animations

datacracy

Contents of DATAcracy program: (i) Big-O: public data literacy & awareness; (ii) ATOM: free-open class of data

demand-estimate-antibiotics

Estimate the demand for antibiotics in France. The work could be used for price elasticity modelling, and simulate the demand of market. Techniques: Logit, Nested Logit, Random Coefficients Logit.

econ5121a

Lecture notes for Econ5121A: Econometric Theory and Applications. This is an open-source writing project.

econ5170

Econ5170@CUHK: Computational Methods in Economics (2019 Spring)

energy-technology

This is an application of Python to analyse the energy, technologies and GDP of Top 15 countries in Energy Engineering

epi853b

fars

Functions to summarize fatal accidents datasets in 2013-15 (30,000+ obs./year) and plot the locations on state maps. Data Source: US National Highway Traffic Safety Administration's Data

fma

FMA: A Dataset For Music Analysis

genrexpose

Automated music genre classification using machine learning

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

insurance-econometrics

Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.

noaa-visualise

This package working with the NOAA Significant Earthquakes dataset to clean and visualise data by timeline and leaflet maps

non-parametric-econometrics

This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations

notebooks

nowcasting-google-queries

Replicate the results of nowcasting housing sales by Google Queries, using Bayesian Structural Time-Series Model (Choi & Varian, 2009, 2012).

panel-fixedeffect-randomeffect

Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage

portfolio-risk-finance

This repo is to introduce some basic applications of Python in Finance and Portfolio Management

short_courses

Instructional materials for econometrics short courses

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

streamlit-data-glimpse

A quick app to explore and profile an uploaded dataset

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).