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anbox-modules

Anbox kernel modules

apply-trade-and-travel-data-into-logistics-route-planning-for-new-zealand

An exploratory study (machine learning based) on the relationship between international trade and Logistics Planning

auto_bank_reconcilation

a python script to automate the dreaded bank reconciliation process by automatically highlighting any matching instances found in the user and the bank records.

battleships_ai

A version of the game Battleships, play against a monte-carlo simulation based AI

beergame

Simulations and Jupyter Notebooks that provide an in depth analysis of the Beer Distribution Game. Advanced illustration of using BPTK to train autonomous agents to play the game, using a reinforcement learning approach.

beergame2

classic supply chain simulation originally developed at MIT

bptk_py_tutorial

Tutorial for BPTK-Py, the Python simulation engine for System Dynamics & Agent based models.

branch-and-price-

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

brute-force-password-cracker

A brute force attacker with packages for development in Python 3, Kotlin, C#, or C++.

buildah

A tool that facilitates building OCI images.

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

chinook-database

Sample database for SQL Server, Oracle, MySQL, PostgreSQL, SQLite, DB2

cibookex-r

Causal Inference: What If. R and Stata code for Exercises

codesnippetsforposterity

My Dream is that each one of these code snippets will become a blog post. So let's take this dream one snippet at a time :)

comp5310

COMP5310 Principles of Data Science

companies-using-r

A Curated list of R uses in entreprise

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

cplex-python

Introduction to Cplex & Python

crun

A fast and lightweight fully featured OCI runtime and C library for running containers

dat3-students

Student work for General Assembly's Data Science course in Washington, DC

data-analysis-in-examples

Set of notebooks complementing medium.com articles

data-mining-kbtu-fall-2019

Repo for DM course, fall 2019

data-science-ipython-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.

datacamp-r-project

datascience

Repository to maintain all my clutter

deepbeerinventory-rl

The code for the SRDQN algorithm to train an agent for the beer game problem

default-of-credit-card-clients

Credit card companies are interested in how to best choose credible customers. We came up with three hypotheses which are shown as follow: Equal Means of Bill Amount; Default Rate Prediction; Credit Limit Determination. I conducted the first hypnosis in R with the model of T-test and F-test. Hypotheses 2 & 3 are conducted in Python with Machine Learning models including Logistics Regression, Random Forest, Lasso, Ridge. My project results finally showed the customer spending trends, the better model to predict default rate and the most important variables to determine credit limit

demand-prediction-guide

2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)

des-python

C code from Discrete Event Simulation: A First Course translated into Python

docker-jupyter-python-r

Jupyter notebook with Python and R.