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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

Language: Jupyter Notebook - Size: 959 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

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.

Language: Python - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

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

Language: Python - Size: 151 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 3

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)

Language: Jupyter Notebook - Size: 289 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

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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Related Keywords
gaussian-naive-bayes-classification 14 machine-learning 7 logistic-regression 5 naive-bayes-classifier 4 decision-tree-classifier 3 classification 3 random-forest-classifier 3 python3 3 knn-classification 2 k-nearest-neighbours 2 machine-learning-algorithms 2 random-forest 2 neural-network 2 svm-classifier 2 support-vector-machines 2 xgboost-classifier 2 poisson-regression 1 perceptron-learning-algorithm 1 neural-network-from-scratch 1 convolutional-neural-networks 1 expectation-maximization-algorithm 1 gaussian-mixture-models 1 voting-ensemble 1 logistic-regression-scratch 1 logistic-regression-algorithm 1 linear-regression-scratch 1 ensemble-learning 1 dendrogram 1 decision-trees 1 clustering 1 boosting-ensemble 1 bagging-ensemble 1 scikitlearn-machine-learning 1 project 1 machie-learning 1 artificial-intelligence 1 support-vector-regression 1 support-vector-classification 1 linear-regression 1 lda-classification 1 lasso-regression 1 extra-trees-classifier 1 elasticnet-regression 1 decision-tree-regression 1 bagged-decision-tree-classification 1 adaboost-classification 1 k-nearest-neighbors 1 word-embeddings 1 reinforcement-learning 1 recurrent-neural-networks 1 nearest-centroid-classifier 1 named-entity-recognition 1 n-grams 1 monte-carlo-methods 1 markov-decision-processes 1 long-short-term-memory 1 k-means-clustering 1 image-classification 1 id3-algorithm 1 data-science 1 ecu 1 pre-processing 1 neural-networks 1 logistic-regression-classifier 1 knn-classifier 1 jupyter-notebook 1 glove-embeddings 1 cnn-keras 1 bilstm 1 probability 1 probabilistic-programming 1 bayesian-inference 1 lgbmclassifier 1 nlp 1 naive-bayes-classification 1 naive-bayes 1 gaussian-naive-bayes 1 tsne-visualization 1 pca 1 multinomial-naive-bayes 1 exploratory-data-analysis 1 svc 1 gradient-boosting-classifier 1 deep-learning-algorithms 1 deep-learning 1 data-visualization 1 data-analysis 1 churn-prediction 1 ann 1 adaboost-classifier 1 stemming 1 nltk-python 1 lemmatization 1 streamlit 1 seaborn 1 scikit-learn 1 python 1 pandas 1 matplotlib 1 machinelearning 1