# Handle missing values and outliers appropriately.
#Normalize or scale features as needed.
#Split the data into training and testing sets.
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This project focuses on analyzing student performance data to gain insights into academic outcomes. It involves several key steps: 1.Data Cleaning 2.Data Visualization 3.Feature Engineering 4.Data Transformation 5.Outcome Analysis
Abhay-Chand/data_preprocessing
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This project focuses on analyzing student performance data to gain insights into academic outcomes. It involves several key steps: 1.Data Cleaning 2.Data Visualization 3.Feature Engineering 4.Data Transformation 5.Outcome Analysis
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