Python WebApp: Learn how to serve a Machine Learning Model predicting car prices (Full stack Book 1) by Nicolas Maignan
English | 2020 | ASIN: B088QS4B1K | 65 Pages | PDF/AZW3 | 2.96 MB
English | 2020 | ASIN: B088QS4B1K | 65 Pages | PDF/AZW3 | 2.96 MB
When you'll go through this book, you will learn how to turn an idea into a web application serving a Machine Learning model. The chosen use case is Second-hand Car Pricing for which we'll go from having no data to deploying a small web application serving a Machine Learning Regressor trained to predict car prices. We'll do this using mainly Python (Quart, LGBM, Pandas, Scikit-learn), a little bit of HTLM, CSS, JS, and Docker (Docker-compose).