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melkharbili's Projects

aistrategy icon aistrategy

Artificial Intelligence is a core capability of the modern enterprise. It must have a sustainable and laser-like precision and efficiency.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

beergame icon 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.

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bpmn-js icon bpmn-js

A BPMN 2.0 rendering toolkit and web modeler.

bptk-model-library icon bptk-model-library

The BPTK Model Library is a collection of System Dynamics and Agent-based models built using the Business Prototyping Toolkit for Python.

bptk_intro icon bptk_intro

Introduction to the business prototyping toolkit

bptk_py_tutorial icon bptk_py_tutorial

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

cs4220-s23 icon cs4220-s23

Course materials for Cornell CS 4220 / Math 4260 / CS 5223 for Spring 2023.

cs50-ai-python icon cs50-ai-python

Harvard University CS50’s Introduction to Artificial Intelligence with Python

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-interview-resources icon data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

ethereumbook icon ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

flightsurety icon flightsurety

Udacity Blockchain Nanodegree Course 6 "Flight Surety" Project

product-api icon product-api

Making data science available for the user: An API-centric data science product

quality_assurance_in_poduction_process icon quality_assurance_in_poduction_process

Enable continuous learning of a quality measurement system through a holistic process and thus to automatically improve the precision of the measurement system. The solution is based on a Raspberry Pi and a camera to which I deployed a deep learning functionality that allows the object classification to be predicted directly on the edge device.

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