This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.
python linear-regression scikit-learn feature-engineering support-vector-machines radial-basis-function model-compression pandas-library error-metrics polynomial-kernel model-training-and-evaluation data-loading-and-parsing wage-regression-analysis
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Updated
Jun 6, 2024 - Python