In this video, we’ll be covering chapter 1 of unsupervised learning with python. In this chapter, we’ll Learn how to discover the underlying groups (or "clusters") in a dataset. By the end of this chapter, you'll be clustering companies using their stock market prices, and distinguishing different species by clustering their measurements.
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/
Chapters
0:00 Course Introduction
0:40 Chapter Introduction
00:57 Unsupervised learning
4:11 Evaluating a clustering
7:13 Transforming features for better clustering