[Idea]: Naive Bayes Algorithm

[KGupta2601]

Idea Title

Implement Naive Bayes Algorithm

Idea Description

The Naive Bayes algorithm is a supervised machine learning technique used for classification tasks based on Bayes' theorem. It assumes independence among predictors, which simplifies the computation of probabilities. The algorithm can be applied in various contexts, including text classification, spam detection, and sentiment analysis. This idea aims to provide a robust Naive Bayes implementation with flexibility in handling different types of data distributions (e.g., Gaussian, Multinomial, Bernoulli) and the ability to preprocess input data effectively.

Potential Benefits

• [X] Improves user experience
• [X] Enhances learning
• [X] Adds a new feature
• [X] Improves code quality
• [X] Other

Implementation Suggestions (Optional)

No response

[github-actions[bot]]

👋 Hi @KGupta2601! Thanks for opening this issue. We appreciate your contribution to the Algo project. Our team will review it soon.

[KGupta2601]

@ajay-dhangar kindly assign me this issue