Data Preprocessing Steps for Machine Learning | Besant Technologies

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In this video, I will try to simplify the exercise of data preprocessing, or in other words, the rituals programmers usually follow before it is ready to be used for machine learning models into 6 simple steps.

Step 1: Import Libraries
Step 2: Import the Dataset
Step 3: Taking care of Missing Data in Dataset
Step 4: Encoding categorical data
Step 5: Splitting the Dataset into a Training set and Test Set
Step 6: Feature Scaling

These are the general 6 steps of preprocessing the data before using it for machine learning. Depending on the condition of your dataset, you may or may not have to go through all these steps.

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Комментарии
Автор

Great Explanation!
Could you also make videos on some more libraries used in Data Analysis? or you already have?
Thanks!

manishasaxena
Автор

Really good video...its need indeed appropriate

dj...