In this guide, we explore HoloViz tools, and most precisely, we take a look at Panel and hvPlot which are open-source libraries that can be used to create interactive charts and dashboards. We also see how easy is to deploy and share our dashboard using a Jupyter Notebook.
Medium Article |
GitHub Repository |
Deployed Dashboard (HerokuApp)
Starbucks’ customers have been randomly selected to receive an advertising promotion to purchase a specific product.
The goal is to analyze the data results to optimize the promotion strategy in order to send the promotion only to those customers who are most receptive to it, to limit the cost of sending the promotion.
Photo by Niels Kehl on Unsplash
A quick look at different global and local methods for explaining complex machine learning models using Python libraries.
In this guide, we take a look at different common tools and concepts used to summarize data to try to better understand how they work and when to use them.
Photo by Cathryn Lavery on Unsplash
The objective of this project, inspired by the book “Hands-On Machine Learning” by Aurélien Géron, is to study linear regression (Normal Equation & Gradient Descent) more so than building an optimal algorithm for regression.