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Deep Learning Data Normalization & Imputation by abdulmohammed33153 is a document available to read on EtoBox.
What is Deep Learning Data Normalization & Imputation about?
The document outlines an activity for III - B.Tech (CS& AI) students focusing on Deep Learning, specifically on data normalization, outlier identification, and missing value imputation. Students are instructed to apply MinMaxScalar and StandardScalar methods, identify outliers using the 3σ approach, and impute missing values with mean replacement. The expected outcome is for students to understand and implement various approaches to handle missing values in Python.
- Author
- abdulmohammed33153
- Language
- EN