HIBA EL RHELL (Unicahebs)

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HIBA EL RHELL's starred repositories

eCommerce.ai

A Complete end to end framework with a live virtual AI assistant to thrive your in-store e-commerce.

Language:Jupyter NotebookLicense:MITStargazers:5Issues:0Issues:0

beyond-jupyter

Software design principles for machine learning applications

Language:Jupyter NotebookLicense:CC-BY-SA-4.0Stargazers:222Issues:0Issues:0

multi-touch-attribution

Connect the impact of marketing and your ad spend to sales. Efficiently pinpoint the impact of various revenue-generating marketing activities to understand what works best. Focus on the best-performing channels to optimize media mix and drive revenue.

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portfolio-optimizer

A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing various factors such as Returns, Sharpe Ratio and Risk.

Language:PythonStargazers:39Issues:0Issues:0

graph-adaptive-activation-functions-gnns

Graph-Adaptive Activation Functions for Graph Neural Networks

Language:PythonStargazers:5Issues:0Issues:0

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Language:PythonLicense:MITStargazers:8106Issues:0Issues:0

applied-ml

đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

License:MITStargazers:27078Issues:0Issues:0
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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:27546Issues:0Issues:0

real-time-data-pipelines-in-python

Real-time Feature Pipelines in Python ⚡

Language:PythonStargazers:206Issues:0Issues:0

Efficient-Tests-of-Stock-Return-Predictability

This R code implements the Bonferroni Q test from Yogo and Campbell's (2006) paper "Efficient Tests of Stock Return Predictability."

License:GPL-3.0Stargazers:1Issues:0Issues:0

reservation_cancellation_prediction

Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow

Language:PythonStargazers:51Issues:0Issues:0

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

Language:Jupyter NotebookStargazers:452Issues:0Issues:0

sparkify-customer-retention

Customer Retention Modeling using PySpark and Shap

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vintage-game-engine

An attempt to develop a 2D game engine in C

Language:CLicense:GPL-3.0Stargazers:1Issues:0Issues:0

data-engineering-zoomcamp

Free Data Engineering course!

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UPM_summer_school_GP_BO_course

Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.

Language:Jupyter NotebookStargazers:19Issues:0Issues:0

Classification-customers

Transaction Data for Market Segmentation

Language:Jupyter NotebookStargazers:2Issues:0Issues:0

Autoencoders

Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)

Language:PythonLicense:GPL-3.0Stargazers:48Issues:0Issues:0

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

License:NOASSERTIONStargazers:9862Issues:0Issues:0

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

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Notes

LaTeX notes from various courses (mainly from UniPi)

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:60Issues:0Issues:0

awesome-public-datasets

A topic-centric list of HQ open datasets.

License:MITStargazers:59728Issues:0Issues:0

Mastering-GitHub-Copilot-for-Paired-Programming

An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.

Language:PythonLicense:MITStargazers:4530Issues:0Issues:0
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awesome-robotics-datasets

A collection of useful datasets for robotics and computer vision

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Turbofan-Federated-Learning-POC

Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:84Issues:0Issues:0

PySyft

Perform data science on data that remains in someone else's server

Language:PythonLicense:Apache-2.0Stargazers:9396Issues:0Issues:0