intermediate
Mastering Clustering in Machine Learning
Machine Learning
4 courses
65 practices
9 hours
Explore unsupervised learning in this path focused on Clustering. Start with data preprocessing, learn algorithms like K-means, DBSCAN, and Hierarchical Clustering, and master validation techniques to evaluate model performance from scratch.
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Earn a shareable
Certificate of Achievement
Verified skills you'll gain
Badge for Machine Learning Model Development, Intermediate
INTERMEDIATE
Machine Learning Model Development
Badge for Model Validation and Selection, Intermediate
INTERMEDIATE
Model Validation and Selection
Tools you'll use
MatPlotLib
Numpy
Pandas
Python
Scikit-learn
SciPy
Seaborn