Bayesian_regression_and_classification | personal assignment for the Advanced
kandi X-RAY | Bayesian_regression_and_classification Summary
kandi X-RAY | Bayesian_regression_and_classification Summary
Bayesian_regression_and_classification is a Jupyter Notebook library. Bayesian_regression_and_classification has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Implementing the Naive Bayes to perform classification over MNIST and CIFAR-10 datasets. Results are compared with Bayesian Linear regression and LeNet5 architecture. The (rudimentary) code is part of an assignment to dive in to the lowest level behind the Naive Bayes method and observe the affect of each modification and transformation over the final results.
Implementing the Naive Bayes to perform classification over MNIST and CIFAR-10 datasets. Results are compared with Bayesian Linear regression and LeNet5 architecture. The (rudimentary) code is part of an assignment to dive in to the lowest level behind the Naive Bayes method and observe the affect of each modification and transformation over the final results.
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Bayesian_regression_and_classification has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Bayesian_regression_and_classification has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Bayesian_regression_and_classification is current.
Quality
Bayesian_regression_and_classification has no bugs reported.
Security
Bayesian_regression_and_classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Bayesian_regression_and_classification is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Bayesian_regression_and_classification releases are not available. You will need to build from source code and install.
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Bayesian_regression_and_classification Key Features
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