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