GitHub topics: gaussian-naive-bayes-classification
havelhakimi/DryBeans
Understand and Run Naive Bayes Algorithm on Dry Beans dataset
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AsadiAhmad/Naive-Base-Classifier
Navie Base Classifier for classifiing imdb comments
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SleepyMiner/Heart-Attack-Prediction
Heart Attack Prediction using Logistic Regression, LGBM, XGB and Gaussian Naive Bayes.
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Ahmed-Walaaeldin/Bayesian-Inference-classifier
Bayesian inference implementation and comparing accuracy against Sklearn
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N-4-V/Sarcasm-Detection-Models
Supervised Machine Learning models and Neural Networks trained on a bevy of feature extractors for Sarcasm Detection with a better Pre-processing approach
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sumitshrestha104/InVehicleSecurityECUClassification
ML methods used for vehicle ECU Classification along with simulating the intrusion.
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deepankarvarma/Diabetes-Prediction-Using-Binary-Classification
This repository contains the code for a machine learning project - Diabetes Prediction. In this project, a model is built to find the relationship between the features and the associated outcome and classify the patient as Diabetic or Non-Diabetic. The Gaussian Naive Bayes Classifier Model is used for this purpose.
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Chan-dre-yi/SEN-TUBE
A model to extract comments from a YouTube video to create a dataset and to apply sentiment analysis that provides the YouTuber with a better understanding of viewer sentiment distribution.
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PratanuP/Bank-Customer-Churn
A prediction model based on ML as well as DL and compare their performances to find Churned Customers
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Hamas-ur-Rehman/Email_Spam_Classifier
This is a project that was done for the Skill4U machine Learning program. This project is a Spam email classifier using machine learning. This model uses Gaussian NB algorithm to train the model.
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ligerfotis/CSE6363_Machine_Learning
Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21
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jonathanloganmoran/EDAN95-Applied-Machine-Learning
This is the repository for the EDAN95 - Tillämpad maskininlärning (Applied Machine Learning) course given at Lunds Tekniska Högskola (LTH) during the Fall 2019 term.
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parikshitshinge/iris-species-classification-model
Classifying species for Iris samples using different ML algorithms (Logistic Regression, K-Nearest Neighbor, Support Vector Machines with different kernels, Gaussian Naive Bayes)
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prabhatk579/machine-learning-algorithms-archive
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset
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