Unsupervised Learning and Recommendations (6/6) | Machine Learning with Python: Zero to GBMs

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💻 Lecture 6 of the Machine Learning with Python: Zero to GBMs course. In this lesson, you will learn how to use unsupervised learning algorithms in Scikit-learn. Course page: https://jovian.ai/learn/machine-learn...

🔗 Notebooks used: https://jovian.ai/aakashns/sklearn-un...

🎯 Topics Covered
Overview of unsupervised learning algorithms in Scikit-learn
Clustering algorithms: K Means, DBScan, Hierarchical clustering, etc.
Dimensionality reduction (PCA) and manifold learning (t-SNE)
Creating a recommender system using collaborative filtering

⌚ Time Stamps
COMING SOON

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🎤 About the speaker
Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator.

#GBM #MachineLearning #Python #Certification #Course #Jovian

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