Name		Name	Last commit message	Last commit date
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Activity01		Activity01
Activity02		Activity02
Activity03		Activity03
Exercise01		Exercise01
Exercise02		Exercise02
Exercise03		Exercise03
GaussianDist.ipynb		GaussianDist.ipynb
LICENSE		LICENSE
README.md		README.md
StudentTDist.ipynb		StudentTDist.ipynb

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t-Distributed Stochastic Neighbor Embedding

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You will learn to implement t-SNE models in scikit-learn and explain the limitations of t-SNE. Being able to abstract high-dimensional information into lower dimensions will prove helpful for visualization and exploratory analysis, as well as in conjunction with the clustering algorithms. By the end of this course, you will be able to find cluste…

neighbor-embedding perplexity stochastic-neighbor-embedding t-distributed-stochastic unsupervised-learning

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