Yanne0800/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

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Shanmukhi1920/Text-Classification

Developed an NLP system using Gradio and Hugging Face to classify disaster tweets with both machine learning (ML) and deep learning (DL) models.

Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Param-Sahu/Exit_Poll_and_Vote_Prediction_Model

The objective is to analyze voter behavior based on demographic and opinion-based variables and build a classification model that can predict which party a voter will vote for. This model is used to simulate an exit poll.

Language: Jupyter Notebook - Size: 853 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jhdsr01/Lung_Cancer_Prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Anshikarawat14/Chronic_Disease_Prediction

A machine-learning-based disease prediction app that analyzes symptoms to provide accurate, timely health insights for proactive care.

Language: Python - Size: 60.5 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

yliang725/Anomaly-Detection-IoT23

A research project of anomaly detection on dataset IoT-23

Language: Jupyter Notebook - Size: 331 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 80 - Forks: 33

NadaAlsaid/Product-Classification

Language: Python - Size: 31.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1

Aditya7248/Indian-English-news-2023-Dataset-Analysis-and-Classification

Indian English News (2023) Analysis and Classification: Categorize news articles with class labels like entertainment, social, sports, national, etc. Achieved 83% accuracy. Interactively predict categories from headlines. Contributions welcome!

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ApollyCh/Pokemons-classification

The university assignment that implements models to predict weather Pokémon is legendary or not.

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RimTouny/Naive-Bayes-Classifiers-Comparison

Spambase dataset analysis comparing Naïve Bayes classifiers. Evaluated accuracy, confusion matrices on different splits. Explored alternatives for improved performance in ML course, uOttawa 2023.

Language: Jupyter Notebook - Size: 368 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sarvandani/ML_classifications-Sarcasm_detection

Sklearn, logistic regression, Naive Bayes classifier, K-Nearest Neighbors, decision trees

Language: Python - Size: 1.79 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rajatrawal/sms-spam-detector

Welcome to the "SMS Spam Detector" project! This machine learning model identifies whether a given SMS is spam or not, providing a valuable tool for spam detection and filtering.

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Raghuls-github/Movie-Genre-Classification

Movie genre classification in NLP using multinomial navie bayes classification and linear support vector classification.

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sahil-zngr/IR

Link Analysis, Naive Bayes Text Classifier, Marathi Stemmer

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chiragn888/Data-Science-Projects

This repository consists of various projects based on Machine Learning and NLP.

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VenkateshBH99/Heart-and-Kidney-disease-prediction-Django

Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django

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vishnu322010326030/Machine-learning-algorithms

We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.

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yxuan-li/QMUL_ECS763_NLP_Labs

Labs for ECS763 Natural Language Processing

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PyAshishMhatre/Covid19-tweets-sentiment-analysis

The project focuses on sentiment analysis of Coronavirus tweets NLP - Text Classification kaggle dataset

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JahanAjani/spam-classifier-webserver

A Flask based production level web app which uses Naive Bayes classifier to predict given SMS is spam or ham. Also contains jupyter notebook with basic data exploration and ml modelling.

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PSoni8/Heart-Disease

A Model Built Using Kaggle Dataset & Machine Learning Classification Algorithms such as Logistics Regression,K-NN, Naive Bayes, SVM, Decision Tree & Random forest which Predicts chances of heart disease in a person.

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Krish1095-projects/Amazon-sentiment-analyzer

Text and Sentiment analysis for Lenovo k9 product reviews from Amazon website.

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

wonderyue/TextClassifier

spam/ham classifier

Language: Python - Size: 1.33 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0