Program data mining menggunakan algoritma Naive Bayes
-
Updated
Jun 8, 2024 - CSS
Program data mining menggunakan algoritma Naive Bayes
Bu projede Breast Cancer data veri seti kullanılarak KNN (K Nearest Neighbor) SVM (Support Vector Machine) Naive Bayes algoritmalarıyla eğitim yapılmıştır. Eğitimde Gridsearch kullanılarak en optimum parametreler bulunmuştur.
Here we have fully implemented a number of algorithms related to machine learning
A Virtual Assistant integrated in TUP Website using NLP and Naive Bayes Algorithm
Practice
โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น
analisis sentimen bahasa Indonesia menggunakan naive-bayes
Using Machine Learning in predicting customer churn from bank credit card services
This repository contains a comparison of different Naive Bayes classifiers (Bernoulli, Gaussian, and Multinomial) for predicting benign and malignant cancer cases. The project includes confusion matrices for each classifier to evaluate their performance.
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
A simple text classifier in Python that uses the Naive Bayes model to classify e-mails as spam or ham.
This repository contains an implementation of the Naïve Bayes classifier from scratch for my machine learning course. It then used to perform classification on two different datasets to detect lung cancer and webpage phishing.
This code performs email spam classification using three machine learning models: Naive Bayes, Support Vector Machines (SVM), and Random Forest Classifier. It evaluates their performance using accuracy scores and classification reports, ultimately identifying Random Forest Classifier as the best performer among the three.
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.
Model buat TA Sentimen and Topik Berita Indonesia
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 is a collection of programs implemented as part of Machine Learning Laboratory course at JSS Science And Technology University(SJCE).
Add a description, image, and links to the naive-bayes-classifier topic page so that developers can more easily learn about it.
To associate your repository with the naive-bayes-classifier topic, visit your repo's landing page and select "manage topics."