Pinned Repositories
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
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.
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.
dataCRACY
Contents of DATAcracy program: (i) Big-O: public data literacy & awareness; (ii) ATOM: free-open class of data
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.
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
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
volatility-garch-VaR
Simulate and estimate volatility by GARCH with/without leverage, riskmetriks. Compute Value-at-Risk and Test on VaR Violation
analytics-training-samples
Notebooks and code samples for analytics flipped-learning tutorials. This codified my enthusiasm for continuous learning, exploring, and refining my mindset, skillet, toolset as a data practitioner.
anhdanggit's Repositories
anhdanggit/volatility-garch-VaR
Simulate and estimate volatility by GARCH with/without leverage, riskmetriks. Compute Value-at-Risk and Test on VaR Violation
anhdanggit/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.
anhdanggit/dataCRACY
Contents of DATAcracy program: (i) Big-O: public data literacy & awareness; (ii) ATOM: free-open class of data
anhdanggit/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
anhdanggit/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.
anhdanggit/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
anhdanggit/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.
anhdanggit/nowcasting-google-queries
Replicate the results of nowcasting housing sales by Google Queries, using Bayesian Structural Time-Series Model (Choi & Varian, 2009, 2012).
anhdanggit/panel-fixedeffect-randomeffect
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
anhdanggit/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.
anhdanggit/noaa-visualise
This package working with the NOAA Significant Earthquakes dataset to clean and visualise data by timeline and leaflet maps
anhdanggit/portfolio-risk-finance
This repo is to introduce some basic applications of Python in Finance and Portfolio Management
anhdanggit/visacard-machine-learning
Code and data files to practice and cover basic concepts of common machine learning techniques: Random Forest, Logistic Regression, and Support Vector Machine in the problem of Visa Card Behaviour
anhdanggit/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.
anhdanggit/basket-analysis-handson
anhdanggit/books-library
📚e-books in PDF and ePub formats across a wide range of technology stacks and topics
anhdanggit/customize-interactive-visual
Examples about customized visualization in Python, also interactive plots and animations
anhdanggit/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.
anhdanggit/Econ5121A
Lecture notes for Econ5121A: Econometric Theory and Applications. This is an open-source writing project.
anhdanggit/econ5170
Econ5170@CUHK: Computational Methods in Economics (2019 Spring)
anhdanggit/EPI853B
anhdanggit/fma
FMA: A Dataset For Music Analysis
anhdanggit/genreXpose
Automated music genre classification using machine learning
anhdanggit/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
anhdanggit/MiEdu-Analytics
Tutorials and Exercise for Analytics Course
anhdanggit/notebooks
anhdanggit/refactor-notebooks
Showcase step-by-step to refactor notebooks into scripts & enhance the coding standard
anhdanggit/streamlit-data-glimpse
A quick app to explore and profile an uploaded dataset
anhdanggit/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
anhdanggit/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).