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Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.
This project used a simple naive bayes classifier to classify different comments as five star or a one star rating. This project was a part of assignment in the subject Intro to AI.
This project uses the Multinomial Naive Bayes classifier to enhance movie genre classification based on metadata such as descriptions and ratings. Utilizing a dataset from Kaggle, it aims to improve content recommendation systems through accurate genre prediction.
👩💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.
This project consists of a variety of data with "spam" and "ham" emails in it. The dataset was cleaned analyzed and trained to detect the emails with the help of machine learning. Two models of Naive Bayes are compared in it,"Gaussian Naive Bayes", and "Multinomial Naive Bayes".
Proyek ini bertujuan untuk melakukan klasifikasi menggunakan dua model pembelajaran mesin: Naive Bayes dan Regresi Logistik. Hasil prediksi dan akurasi dari kedua model akan dibandingkan dan divisualisasikan.