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Feras Al-Basha's repositories

Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning

Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.

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80-629

Additional material for 80-629

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

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awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

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cookiecutter-data-science

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

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Data-Science--Cheat-Sheet

Cheat Sheets

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DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

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google-trends-walkthrough

Code to walkthrough - http://amunategui.github.io/google-trends-walkthrough/

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googleads-python-lib

The Python client library for Google's Ads APIs

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modanet

ModaNet: A large-scale street fashion dataset with polygon annotations

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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pytrends

Pseudo API for Google Trends

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