Summary
A review and summary of week 2, data and features
Here is a quick recap of the material covered this week, which has focused on data and features.
This week we have looked at:
- types of data and features
- feature extraction
- labelling image data
- handling missing data and pre-processing data.
Next week we will take a deeper dive into the core machine learning techniques of clustering, classification and regression.
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