Projects and Exercises for Udacity Data Analyst Nanodegree ( 2020)📊
-
Updated
Jul 30, 2021 - Jupyter Notebook
Projects and Exercises for Udacity Data Analyst Nanodegree ( 2020)📊
The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine production. A Neural Network was trained using Tensorflow, which was later tuned in order to achieve high-accuracy quality predictions.
Exercises from 'An Introduction to Statistical Learning with Applications in R' by James et al.
Add a description, image, and links to the wine-analysis topic page so that developers can more easily learn about it.
To associate your repository with the wine-analysis topic, visit your repo's landing page and select "manage topics."