Medium Articles Sources

This repository collects the code I have developed for the different articles published on Medium, mainly in Towards Data Science.

Thumbnail	Description
	This repo includes the code I have developped for the article The Beauty of Gradient
	This repo includes the code I have developped for the article How SciPy and Scikit-learn Can Optimize Your Model’s Response
	This repo includes the code I have developped for the article Understanding Surrogate Models and Their Benefits in Data Science
	This repo includes the code I have developped for the article "Explaining how I reached the top ranks of the new Data-Centric competition
	This notebook includes the code I have developped for the article "Why you should monitor your pictures’ sharpness when deploying Computer Vision models"
	This notebook includes the code I have developped for the article "How Pictures Structural Similarity can boost your Computer Vision projects"
	This notebook includes the code I have developped for the article "Exploring my Medium visits and earnings with Pandas, NumPy and SciPy"
	This notebook includes the code I have developped for the article "XAI — Build your own deep-learning interpretation algorithm"
	This notebook includes the code I have developped for the article "Data Science 101: Build your first Machine Learning Model with Pandas, Scikit-Learn, and Google Colab"
	This notebook includes the code I have developped for the article "Help Santa optimize his Christmas run with Google OR-Tools, Geopandas, and Folium"
	This notebook includes the code I have developped for the article "Employees’ Attrition — How Catboost and Shap can help you understand it!"
	This notebook includes the code I have developped for the article "Beyond “classic” PCA: Functional Principal Components Analysis (FPCA) applied to Time-Series with Python"