Principles Of AI Lab Exercises
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Updated
Jan 13, 2024 - Python
Principles Of AI Lab Exercises
This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers, such as their age, gender, passenger class, and other relevant features.
Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Naive Bayes application in supervised learning
In this project, I build a model and also implement that for classifying the message into spam or ham through the text of the message using standard classifiers.
Implementing Unsupervised machine learning algorithms from scratch and using them in various applications
Implementation of Naive Bayes classifier from scratch on Cardiovascular Disease dataset
AMMI mini-project on Binary naive Bayes sentimental analysis
An implementation of the Naive Bayes algorithm written in C++
AUC & Naive Bayes
An implementation of the Naive-Bayes-Classifier algorithm in C++.
This project uses inbuilt sklearn.naive_bayes.MultinomialNB classifier as well as the algorithm code from the scratch which is having accuracy even more than inbuilt classifier
Some implementation and use cases of Naive Bayes.
NTU-IM 5044
Job classification on the basis of job description using Naive bayes classifier
Naive Bayes (From Scratch)
Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.
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