Unsupervised Machine Learning in Python | Visualization with Hierarchical Clustering and t-SNE
In this video, you'll learn about two unsupervised learning techniques for data visualization, hierarchical clustering and t-SNE. Hierarchical clustering merges the data samples into ever-coarser clusters, yielding a tree visualization of the resulting cluster hierarchy. t-SNE maps the data samples into 2d space so that the proximity of the samples to one another can be visualized.
Datasets
https://drive.google.com/drive/folder...
Links
Python: https://www.python.org/downloads/
PyCharm: https://www.jetbrains.com/pycharm/dow...
scikit-learn: https://pypi.org/project/scikit-learn/
pandas: https://pypi.org/project/pandas/
numpy: https://pypi.org/project/numpy/
matplotlib: https://pypi.org/project/matplotlib/
scipy: https://pypi.org/project/scipy/
pycountry: https://pypi.org/project/pycountry/
Chapters
0:00 Course Introduction
0:40 Chapter Introduction
1:02 Visualizing heirarchies
4:32 Cluster labels in hierarchical clustering
6:49 t-SNE for 2-dimensional maps