Implementation of necessary supervised machine learning algorithms for regression and classification.
machine-learning numpy linear-regression scikit-learn classification logistic-regression matplotlib gradient-descent vectorization feature-engineering regression-models feature-scaling cost-function sigmoid-function classification-models linear-function regularization-to-avoid-overfitting logistic-loss squared-error-cost-function
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Updated
Jul 31, 2024 - Jupyter Notebook