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ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

anhvu3011.github.io

arranging_data_into_panel

The repository goes through some data issues related to arranging data from various sources into a panel dataset ready for further statistical modelling.

basic_operations_time_series

This repository illustrates calculations and visualisations of time series. In addition, it shows how to lag a time series.

coursera-xarray

Repository for the "Climate Geospatial Analysis with Python and Xarray" project on Coursera

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

eda_in_python

This repository explores steps to visualise and to understand data initially.

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

market_basket_analysis_1

This repository is the first part of the two-part series on market basket analysis. It uses the package apyori. The second part uses mlxtend package.

practical-machine-learning

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research