Data PreProcessing - Cleaning Data with Python for Machine Learning
After Web Scraping data it is time to pre-process it to make sure that it is clean to feed our Sentiment Analysis model. In this video, we will go through some cleaning data techniques such as:
Taking care of missing values;
Droping unecessary columns;
Change column data type;
Data consistency verification.
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There are more techniques that aren't covered here since that we don't need it. However, stay tuned with the channel, more pre-processing/cleaning data videos will arrive.
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