GitHub - HasnaaMarzouk/machine-learning-projects: Machine Learning Practices using Python and Scikit-learn This repository contains a collection of machine learning projects and hands-on practice notebooks covering fundamental supervised learning algorithms. Each notebook demonstrates the full ML workflow including data preprocessing, model training, and evaluation using real-world datasets.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
boston_house_prices_linear_regression.ipynb		boston_house_prices_linear_regression.ipynb
breast_cancer_svm.ipynb		breast_cancer_svm.ipynb
employee_attr_logistic_regression.ipynb		employee_attr_logistic_regression.ipynb
heart_failure_random_forest.ipynb		heart_failure_random_forest.ipynb
iris_knn_cross_validation.ipynb		iris_knn_cross_validation.ipynb
multivariable_gradient_descent.ipynb		multivariable_gradient_descent.ipynb
titanic_decision_tree.ipynb		titanic_decision_tree.ipynb
titanic_logistic_regression.ipynb		titanic_logistic_regression.ipynb

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Machine Learning Practices using Python and Scikit-learn This repository contains a collection of machine learning projects and hands-on practice notebooks covering fundamental supervised learning algorithms. Each notebook demonstrates the full ML workflow including data preprocessing, model training, and evaluation using real-world datasets.