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Sentiment analysis and prediction in Python | Live Code-Along

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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 will 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.
Chapter Timestamps -
00:00 - Intro
03:27- Load libraries and data
09:42 - Inspect and explore data
17:11 - Pre-processing the review text
36:15 - Fit and evaluate a model
Interesting Reads:
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Chapter Timestamps -
00:00 - Intro
03:27- Load libraries and data
09:42 - Inspect and explore data
17:11 - Pre-processing the review text
36:15 - Fit and evaluate a model
Interesting Reads:
Should BI Analysts Learn to Code? | DataCamp
Python 2 vs 3: Everything You Need to Know | DataCamp
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