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Having covered the theoretical foundations of probability and statistics, it's time to see these concepts in action. The interactive tools below let you experiment with Bayes' Theorem, calculate descriptive statistics on custom datasets, and visualize different probability distributions commonly used in machine learning.
Explore central tendency, dispersion, and correlation measures to summarize and understand datasets effectively.
Visualize and interact with various probability distributions to see their applications in machine learning tasks.
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Test your understanding before moving on