intermediate
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.
536 learners
Earn a shareable
Certificate of Achievement
Verified skills you'll gain
INTERMEDIATE
Machine Learning Model Development
INTERMEDIATE
Model Validation and Selection
Tools you'll use
MatPlotLib
Numpy
Pandas
Python
Scikit-learn
SciPy
Seaborn