GitHub topics: naive-bayes

Repositories

Armin-Abdollahi/Machine-Learning

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Chandrakant817/Semantic-Analysis-of-Restaurant-Reviews

Semantic Analysis of Restaurant Reviews (NLP Use Case)

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WalidAlsafadi/Titanic-Disaster

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

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ma-nadeau/Emotion-Classification-using-LLMs

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drisskhattabi6/XGBoost-vs-Naive-Bayes-For-Arcene-Dataset

This repo contains a comparison between XGBoost & Naive Bayse For "Arcene" Dataset.

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Karthik-Bommaragoni/Health-Data-Analysis

Sub Cellular Localisation Prediction

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Ayeshaaaaaaaaa/App-Reviews-Sentiment-Analysis

App Reviews Sentiment Analysis is the process of extracting meaningful insights from the textual content of app reviews by determining the sentiment expressed within. Sentiment analysis helps categorize reviews as positive, neutral, or negative, making it easier for developers to prioritize enhancements based on user feedback.

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gaaniruddha/FIT5047

This repository contains the two assignment that were completed as a part of "FIT5047 Fundamentals of AI", taught at Monash Uni in S1 2020.

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textgain/grasp

Essential NLP & ML, short & fast pure Python code

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moon-hotel/MachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。

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timid-zy/stroke-prediction-classifiers

Implementation of six different classification models on Stroke Prediction, complete with data analysis and performance evaluation

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abhinavsaurabh/fifa-world-cup-prediction

Welcome to the FIFA World Cup 2018 Prediction project! This repository showcases a comprehensive statistical analysis of FIFA player and team data using Bayesian inference techniques. By leveraging these advanced methodologies, we provide deep insights into team performance, win probabilities, and more.

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Haleshot/AI-ML-DL-NLP-CV

This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

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motapinto/football-classification-predications

Supervised Learning Models used to predict outcomes of football matches

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msikorski93/Credit-Card-Fraud-Detection

A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

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Arek-KesizAbnousi/Neural_Networks

Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.

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Brazer27/Iris-Classification

A Python implementation of Naive Bayes algorithm for Iris flower classification. Features include cross-validation, data preprocessing, and prediction capabilities. Built from scratch without ML libraries, achieving ~95% accuracy on the classic Iris dataset.

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mandeep147/Amazon-Product-Recommender-System 📦

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

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ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

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becxer/pytrain

Machine Learning library for python

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luokn/ml

经典机器学习算法的极简实现

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Silviatulli/MachineLearningPython

collections of vanilla ML models implemented with existing python libraries and simple datasets

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sudeephazra/python-rain-predictor

Predicting rainfall using multi-stage logistics regression and naive bayes from weather data

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tsuirak/deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

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jamil-tg/project

My Project!!

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emmarhoffmann/StarSort

A multi-model machine learning project that achieves up to 100% accuracy in classifying star types using five different AI algorithms

Language: Python - Size: 181 KB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jeffreywijaya100/cancer-patient-and-stock-data-ml

classification and regression predictive model using cancer patient and stock data

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YoussefAboelwafa/SST_Text-Classification

Sentiment Classification into five distinct classes using the Stanford Sentiment Treebank (SST) dataset using two different classification models: Naive Bayes & Logistic Regression.

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psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

aryelsoares/bank-marketing-benchmark

Bank marketing prediction of client subscribing a term deposit.

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malavbhavsar/sentimentalizer 📦

Sentiment analysis with Machine Learning

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ShakeefAhmedRakin/LungCancerPrediction

Lung Cancer Prediction achieved using sklearn for the CSE422 course at BRAC University,

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shofiq0023/python-ml-prediction

A small project for machine learning based prediction using four classifier

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mdsayem01k/ML-core-Algo

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tathithienthanh/DataMining-Banking-Dataset

Implement some learned data mining techniques and predict if the client will subscribe to a term deposit

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traviszusa/Sentiment-Analysis-Based-On-Youtube-Comments

Sentiment analysis based on YouTube comments and classifying them as positive, neutral, or negative with Naive Bayes Model

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changhuixu/sentiment-analysis-using-python

Large Data Analysis Course Project

Language: Python - Size: 17.6 MB - Last synced at: 17 days ago - Pushed at: almost 9 years ago - Stars: 27 - Forks: 14

odubno/gauss-naive-bayes

Gauss Naive Bayes in Python From Scratch.

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aneeshmurali-n/NLP-Emotion-Classification-in-Text

Develop machine learning models to classify emotions in text samples.

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DanielMPMatCom/SRI-Project

Research on hybridization of recommendation system techniques. Probabilistic approaches, the NBCF method, and expansion with NBP for group user recommendations.

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r21gh/SAKI-2021

Jupyter notebooks of SAKI ML course at FAU (for students)

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r00tens/text-classifier

Naive Bayes classifier for text classification with CPU and GPU (CUDA)

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KashRamnath/PDAN8411_Task2_ST10117137_2023

K-Nearest Neighbours & Gaussian Naive Bayes - Diabetes Prediction

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sobakavosne/first-artificial-training 📦

Artificial Intelligence training provided by BelHard Academy

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harshpreet931/Spam-Email-Classification

A lightweight and fast Naive Bayes-based spam email classifier written in C.

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syedahmedrz/AI-Based-Spam-Email-Classification-Using-Naive-Bayes

A spam email classification model using Naive Bayes with machine learning, designed to categorize emails as spam or not spam.

Language: Python - Size: 204 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

acar12/clickrate 📦

ML model to determine whether a news headline may be clickbait or not.

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20101301-Alina-Hasan/Mobile-Price-Prediction-AI

Here we use basic ML models to learn from already categorized mobile phone prices and then predict prices of mobile phones not introduced to its learning scheme.

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adistrim/TruthfulnessClassifier

An experimental machine learning project 🤖📖

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delosreyesjohnpaul/Thesis-Similarity-Checker-Diff-Model

This repository contains a Jupyter notebook that implements different algorithms for similarity checking. The primary focus is on comparing various models to determine the most effective for thesis similarity detection.

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papermath/Machine_Learning

A short repository for my machine learning skills on real datasets

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fjovanovic/Twitter-AI-Sentiment-Analysis

A project leveraging classification and clustering algorithms to determine the sentiment of tweets, distinguishing between hatred and non-hatred content

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DeepraMazumder/Resume-Management-System

A Machine Learning project for classifying resumes into categories to streamline resume sorting and enhance recruitment processes

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Behradsadeghi/Predicting-Loan-Acceptance

ML project

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daniel-lima-lopez/Sentiment-classification-with-Naive-Bayes-classifier

Python implementation of the Naive Bayes classifier, applied to the problem of classifying sentiments of Amazon product reviews

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ethanwongca/COMP396

Analyzing Language Bias Between French and English in Conventional Multilingual Sentiment Analysis Models

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TheMrityunjayPathak/MachineLearning

Machine Learning with Python

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0username1/Actionable_Insights

Extracting Actionable Insights from User Feedback

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ROHILLA-PR/Python-Machine-learning-project-

Analyzing the healthcare data and generating insights, along with it predicting whether a person is a smoker/drinker or not.

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BalapriyaPalanivel/Heart_disease_prediction

Heart_Disease_Prediction

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GabrieleCarl/spam-detection

nlp project - email spam detection

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bhanuchandrika99/NeuralNetwork-DeepLearning

University of Central Missouri: Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignments

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chetandudhane/time-series-forecasting

This project is to build Forecasting Models on Time Series data of monthly sales of Rose and Sparkling wines for a certain Wine Estate for the next 12 months.

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MuhammadShavaiz/Spam_or_Ham_EmailDetection

The Spam Email Detection project uses Scikit-learn and Pandas to classify emails as spam or not, leveraging a dataset of 5,000 emails. It demonstrates practical statistical analysis and model training for effective email classification.

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eldinsahbaz/SentimentAnalysis

Naive Bayes classifier with stemming and continuous learning for sentiment analysis

Language: Java - Size: 1.73 MB - Last synced at: 8 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

GislaineMartins/Students-Performance

Análise e Classificação de Dados Students Performance. (Data Science)

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RampageousRJ/DDoS-Attack-Detection-DMPA-Project Fork of k1voh/DDoS-Attack-Detection-Using-Machine-Learning

DDoS Detection and Prediction Application using Classification and Flask

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koushik16/Naive-Bayes-on-Multi-Language-Text

Implementation of Naive Bayes for text classification across multiple languages, focusing on natural language processing and multilingual text analysis.

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LaxmiChaudhary/Building-Naive-Bayes-Classifier-on-Pima-Diabetic-Dataset

Predict the onset of diabetes based on diagnostic measures

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ShaharShc/MachineLearningCourse

Ben Gurion University "Machine Learning (372.2.5214)" course assignments & solutions

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pushkarsaini18/Gold-Price-forecasting

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the different metrics used to evaluate the forecasts. Goal: The goal of this project was to predict future gold price based on previous gold price. I apply various quantitative methods, (i.e. Times Series Models and Causal Models) to forecast the Price of the gold available in the dataset obtained from Kaggle. Models covered in the Project include: 1.Naive Model 2.ARIMA and Seasonal ARIMA Models 3.Linear Regression Model 4.Model Deployment (Streamlit)

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yobahcorp/youtube-comments-sentiment-analysis

This project applies machine learning to predict sentiment in YouTube comments on a controversial video about "The Chosen" series. We built a Naive Bayes model that achieved 82% accuracy in distinguishing for/against sentiments. Using ANOVA, we found significant differences in engagement between these sentiments, providing insights into on opinions

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pranav-kasana/Spam-SMS-Classification-NLP

This project classifies SMS messages into spam or ham using NLP techniques. It includes data preprocessing, feature extraction with TF-IDF, and classification using models like Naive Bayes, Logistic Regression, and SVM. The notebook also compares model performance using evaluation metrics, providing insights into effective SMS spam detection.

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