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
-
Updated
Jul 31, 2024 - Jupyter Notebook