aneeshpatne / Data-Preprocessing

Getting data ready for ML

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Data PreProcessing before ML

1. Null Value Removal

Before Before NaN removal
After After NaN removal

2. Encoding Categorial Data

Before Before OneHotEncoding
After After OneHotEncoding

3. Splitting the data

Data Shape Splitting of Data

4. Feature Scaling

Via Normalization
Before Before Feature Scaling
After After Feature Scaling

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Getting data ready for ML


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