F22_ECE4715

Repo containing codes for ECE 4715 (Fall 2022)

Many of the figures and examples shown here are from:

Aurélien Géron (2019). ”Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems”, 2nd Edi- tion. ISBN: 978-1492032649. An E-book is available free through the Cpp University Library
Kevin P. Murphy (2022). ”Probabilistic Machine Learning: An Introduction”. ISBN: 978- 0262046824. An E-book is available free at: https://probml.github.io/pml-book/book1.html

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
10_ensemble_learning.ipynb		10_ensemble_learning.ipynb
2_linear_discriminant_analysis.ipynb		2_linear_discriminant_analysis.ipynb
3_naive_bayes.ipynb		3_naive_bayes.ipynb
4_end_to_end_project.ipynb		4_end_to_end_project.ipynb
5_classification_metrics.ipynb		5_classification_metrics.ipynb
6_linear_regression.ipynb		6_linear_regression.ipynb
7_logistic_regression.ipynb		7_logistic_regression.ipynb
8_support_vector_machines.ipynb		8_support_vector_machines.ipynb
9_decision_trees.ipynb		9_decision_trees.ipynb
MNIST_playground.ipynb		MNIST_playground.ipynb
README.md		README.md
python_crash_course.ipynb		python_crash_course.ipynb

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