Unsupervised Learning | PCA and Clustering | Data Science with Marco

🐍Code: 6:30 Full notebook on Github: https://github.com/marcopeix/datasciencewithmarco/blob/master/Unsupervised%20Learning.ipynb In this video, we explore the concept of unsupervised learning by taking an in-depth look at principal component analysis (PCA) and clustering algorithms such as K-means. As always, we cover some theory and follow up with coding examples in Python. Like the video and subscribe to the channel for more data science content! Follow me on Medium: https://medium.com/@marcopeixeiro Coding examples inspired by the following scikit-learn examples: - Clustering: https://scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html#sphx-glr-auto-examples-cluster-plot-color-quantization-py - PCA: https://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html