Data Handling and Machine Learning

Learning Resources for Data Handling and Machine Learning course which is the part of the Software Engineering Curriculum in Metropolia UAS.

This material has been made by Juha Kopu and Vesa Ollikainen.

Modules

Name		Name	Last commit message	Last commit date
Latest commit History 131 Commits
assignments		assignments
datasets		datasets
img		img
.gitignore		.gitignore
Association.ipynb		Association.ipynb
Clustering_and_kmeans.ipynb		Clustering_and_kmeans.ipynb
Data_preprocessing_and_visualization.ipynb		Data_preprocessing_and_visualization.ipynb
Decision_tree.ipynb		Decision_tree.ipynb
Linear_regression.ipynb		Linear_regression.ipynb
Logistic_regression.ipynb		Logistic_regression.ipynb
Model_overfitting_validation_process_models.ipynb		Model_overfitting_validation_process_models.ipynb
README.md		README.md
Random_forests.ipynb		Random_forests.ipynb
Recommender_systems.ipynb		Recommender_systems.ipynb
Text_analytics.ipynb		Text_analytics.ipynb
Tools_and_introduction.ipynb		Tools_and_introduction.ipynb
kNN_classification.ipynb		kNN_classification.ipynb