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Updated
May 3, 2024 - Jupyter Notebook
#
handling-categorical-values
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feature-creation
relationship-between-features
column-normalization
column-standardization
handling-categorical-values
missing-values---outlier-treatment
* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering *Accuracy score *Confusion matrix *Classification report
heatmap
eda
confusion-matrix
scaling
feature-engineering
data-normalization
classification-report
standarization
accuracy-score
handling-missing-value
handling-outlier
handling-categorical-values
handling-skewness
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Updated
Jun 4, 2024 - Jupyter Notebook
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