Unsupervised Learning
Instructor
Ahmed Mostafa Omar
- Description
- Curriculum
- Reviews
About the Unsupervised Learning course
Course Content
-
2
Understanding Unsupervised Learning ConceptsDive into the fascinating world of unsupervised learning, a key branch of machine learning where the algorithm learns from unlabeled data.
-
3
Clustering Algorithms: K-means, Hierarchical Clustering
Explore two fundamental clustering techniques: K-means and Hierarchical Clustering.
-
4
Dimensionality Reduction Techniques: PCA (Principal Component Analysis)
Delve into the fascinating world of dimensionality reduction techniques, focusing specifically on Principal Component Analysis, or PCA.
-
5
Hands-on Exercise: Clustering Analysis on a Dataset using Python
Dive into the fascinating world of clustering analysis using Python.
-
6
Case Study: Customer Segmentation for an E-commerce Platform
Module 4 Case Study
Please, login to leave a review
