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In this live training, you will build a machine learning model to predict the sentiment of a review using the contents of the review.
We walk through all steps of the machine learning process, from importing the text data, tokenizing and vectorizing the text samples up to training a classifier and evaluating its performance.
Load in and inspect a csv file with Python
Tokenize and vectorize text data to build numerical features for prediction
Build a classifier that can predict the sentiment of a review
Calculate and assess the performance of a classifier
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