Data Science: Supervised and Unsupervised machine learning
Continuation of previous year track from basic concepts of Conditional Probability & Regression to supervised and unsupervised machine learning techniques.
In this session, we will look at various supervised ML techniques including Decision Trees, Random Forest as well as unsupervised techniques such as Clustering. and Principle Component Analysis.
The session includes theory around each of the technique as well as a demo using a sample data set.
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