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GitHub / hassaanhameed786 / Probability-and-Statistics-for-Computer-Science

The most common discrete and continuous distributions, showing how they find use in decision and estimation problems, and constructs computer algorithms for generating observations from the various distributions. and applications, and lastly the most important concept is covered is entropy

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hassaanhameed786%2FProbability-and-Statistics-for-Computer-Science

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 18 MB
Dependencies: 0

Created: over 3 years ago
Updated: 6 months ago
Last pushed: 6 months ago
Last synced: 6 months ago

Topics: binomial-distribution, continuous-distributions, decision, entropy, matplotlib, nhanes, onehot-encoding, seaborn, spam-detection, statistical-functions

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