anhdanggit/portfolio-risk-finance

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

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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.

Language: Stata - Size: 4.9 MB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

anhdanggit/customize-interactive-visual

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

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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.

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anhdanggit/noaa-visualise

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

Language: R - Size: 1.19 MB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

anhdanggit/streamlit-data-glimpse

A quick app to explore and profile an uploaded dataset

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anhdanggit/volatility-garch-VaR

Simulate and estimate volatility by GARCH with/without leverage, riskmetriks. Compute Value-at-Risk and Test on VaR Violation

Language: R - Size: 10.7 MB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 6

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

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anhdanggit/nowcasting-google-queries

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

Language: R - Size: 1.56 MB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 5

anhdanggit/panel-fixedeffect-randomeffect

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

Language: R - Size: 253 KB - Last synced at: 10 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

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

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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

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anhdanggit/energy-technology

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

Language: Python - Size: 429 KB - Last synced at: 10 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

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.

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anhdanggit/MiEdu-Analytics

Tutorials and Exercise for Analytics Course

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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.

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anhdanggit/econ5170 Fork of ishwang1/econ5170

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

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anhdanggit/business-machine-learning Fork of firmai/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.

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anhdanggit/dataCRACY

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

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anhdanggit/analytics-training-samples Fork of anhdangqb/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.

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anhdanggit/books-library Fork of Vasyl-Varkholyak/books-library

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

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anhdanggit/streamlit-example Fork of streamlit/streamlit-example

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

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anhdanggit/homemade-machine-learning Fork of trekhleb/homemade-machine-learning

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

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anhdanggit/training-data-analyst Fork of GoogleCloudPlatform/training-data-analyst

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

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anhdanggit/short_courses Fork of bryangraham/short_courses

Instructional materials for econometrics short courses

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anhdanggit/genreXpose Fork of jazdev/genreXpose

Automated music genre classification using machine learning

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anhdanggit/fma Fork of mdeff/fma

FMA: A Dataset For Music Analysis

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anhdanggit/Econ5121A Fork of zhentaoshi/Econ5121A

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

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anhdanggit/notebooks Fork of TeconomicsBlog/notebooks

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anhdanggit/EPI853B Fork of sidAvad/EPI853B

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anhdanggit/BLP-Python Fork of joonro/BLP-Python

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

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anhdanggit/stat-learning Fork of asadoughi/stat-learning

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

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anhdanggit/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

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