![Feature Scaling](https://devskrol.com/wp-content/uploads/2022/01/FeatureScalingThumbnail.jpg)
what, why and how to do Feature Scaling, Normalization Vs Standardization, common mistakes a beginner may do on Feature Scaling
![Encoding](https://devskrol.com/wp-content/uploads/2022/01/image-22.png)
5 Part series of most important Data Pre-Processing Techniques of Machine Learning: Encode Categorical Values, One-Hot Encoding, Ordinal Encoding, Categorical Data types explained with examples
![](https://devskrol.com/wp-content/uploads/2022/01/ImputeMeanMedianMode-768x576.png)
Major imputation techniques in Machine learning, US census data, Listwise Deletion, Impute NaN with mean, Trimmed Mean, median, mode, Drop columns if >60% of data is missing
![Verify Data type](https://devskrol.com/wp-content/uploads/2021/12/image-48.png)
This is a 5 Part series of most important Data Pre-Processing Techniques of Machine Learning. Part 1 - Verify data types of the variables/features.
![Imputation Thumbnail](https://devskrol.com/wp-content/uploads/2022/01/1-768x432.png)
How to impute missing values using SimpleImputer and ColumnTransformer, Disadvantages of SimpleImputer, Advantage of ColumnTransformer