Learn how to test your SEO theories using Python. Discover the steps required to pre-test search engine rank factors and validate implementation sitewide.

This page describes how to train your own classifier on your own dataset. Here it is assumed that you have followed e.g. the guide Validate on LFW to install dependencies, clone the FaceNet repo, set ...

First 2 rows of dataset from sklearn.datasets import load_wine from lazypredict.Supervised import LazyClassifier data = load_wine() X = data.data y = data.target X_train, X_test, y_train, y_test = ...