lab1-data-preprocessing

Lab 1: Data Preprocessing

Data preprocessing techniques for machine learning: feature scaling, outlier detection, and normalization using statistical methods.

Z-score Normalization - Standardize features to mean=0, std=1
Statistical Feature Scaling - Min-max normalization, robust scaling
Outlier Detection - Identify anomalous data points using statistical methods

Name		Name	Last commit message	Last commit date
parent directory ..
CloudWatch_Traffic_Web_Attack_.csv		CloudWatch_Traffic_Web_Attack_.csv
README.md		README.md
data_preprocessing.ipynb		data_preprocessing.ipynb