search

Saloni6111 / DSA_Problems

Solve given DSA problems here for hactoberfest.
MIT License
31 stars 108 forks source link

Implement Naive Bayes Algorithm in Python for Predicting Event Probability #352

Open Prathamesh-1011 opened 5 days ago

Prathamesh-1011 commented 5 days ago

This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the event. Naive Bayes is a simple yet powerful probabilistic classifier that is widely used in AI for tasks such as text classification and spam detection. The implementation should demonstrate how to apply the algorithm to a dataset and make predictions based on calculated probabilities.

Hello @Saloni6111, I am a Hactoberfest - 2024 contributer, I want to contribute the solution of the problem statement to this repository. Kindly assign this issue to me. Thank you! :)

Saloni6111 commented 3 days ago

This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the event. Naive Bayes is a simple yet powerful probabilistic classifier that is widely used in AI for tasks such as text classification and spam detection. The implementation should demonstrate how to apply the algorithm to a dataset and make predictions based on calculated probabilities.

Hello @Saloni6111, I am a Hactoberfest - 2024 contributer, I want to contribute the solution of the problem statement to this repository. Kindly assign this issue to me. Thank you! :)

assigned!