Course overview
In this pet project, you will create a model for sentiment classification of reviews. You will learn to use KNN, RNN, and Naive Bayes algorithms for text analysis. As a result, you will have a working classifier that can be applied to real-world tasks.
You will learn
Classify text reviews based on sentiment
Use the k-Nearest Neighbors (KNN) algorithm
Work with Recurrent Neural Networks (RNN)
Train and fine-tune Naive Bayes
Table of contents
About the pet project
Theory
8 min.
Training the model
Practice
2 min.
The kNN algorithm
Practice
2 min.
Recurrent neural networks (RNN)
Practice
2 min.
Naive Bayes
Practice
2 min.
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