GitHub

plot_convert_pipeline_vectorizer.py

X_train_dict = pandas.DataFrame(X_train[:, 1:]).T.to_dict().values() X_test_dict = pandas.DataFrame(X_test[:, 1:]).T.to_dict().values() # We create a pipeline.
GitHub

plot_convert_pipeline_vectorizer.py

X_train_dict = pandas.DataFrame(X_train[:,1:]).T.to_dict().values() X_test_dict = pandas.DataFrame(X_test[:,1:]).T.to_dict().values() # We create a pipeline.
BBC

Procedures and functions Procedures in Python

print("Your score: " + str(score)) time.sleep(1) print("High score: " + str(high_score)) time.sleep(1) print("Lives remaining: " + str(lives)) time.sleep(1) The ...
IEEE

A Comprehensive Analysis of Text Similarity Metrics and Vectorization Techniques for Content-Based Product Recommendation

Abstract: This paper proposes a benchmark analysis of various similarity metrics and text vectorization methods applied to content-based product recommendation systems in e-commerce. It presents an ...