Complete Data Preprocessing in Python
In this video you will learn about data preprocessing in Python programming. It contains two things
1- Checking the quality of data
2- Doing data cleaning
Steps for checking the quality of data
1- Check the data manually
2- Check for the incorrect data types
3- Check for the spelling errror in the column names
4- Check for the spelling error in the categorical column values
5- Chcek for the negative values in the numerical column
6- Check for the missing values
7- Check for the duplicates values
8- Check for the outliers in the numerical column
9- Check for the data imbalance in the target column
10- Checking for the skeweness in the numerical column
11- Checking for multicollinearity
12- Checking for Cardinality in the categorical columns
13- Encoding the categorical column
Get the complete code here
https://github.com/DataSpoof/YouTube_...
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