02945AdityakrDas/ML-Project

CHD (coronary heart disease) Risk Prediction using Logistic Regression Model. The goal is to predict whether a patient has 10-years risk of CHD or not.

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4702chahat/Rock-Vs-Mine

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

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pspanoudakis/Data-Mining-Techniques-Projects

Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets

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AzizLike29/Kasus_Perceraian-SVM

Jumlah Kasus Perceraian Berdasarkan Faktor Penyebab di Jawa Barat 2017 - 2023 dengan menggunakan algoritma support vector machine (SVM)

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IvoDSBarros/rock-is-not-dead_nlp-experiments-on-rock-news-articles

NLP experiments on web rock-based news articles using Python

Language: Python - Size: 30.7 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

miirshe/NLP-projects

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Prashanth292003/Resale_Price_Prediction_for_Singapore-Flat

This repository focuses on developing a machine learning model and deploying a user-friendly web application to predict resale prices of flats in Singapore. Utilizing historical resale data, the goal is to create a robust model providing valuable insights for potential buyers and sellers in estimating flat resale values.

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luuisotorres/EDA-and-Employee-Attrition-Prediction

Exploratory data analysis and machine learning classification models to predict employee attrition.

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MYoussef885/Rock_VS_Mine_Prediction

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

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lijesh010/Diabetes_prediction_using_SVM

This repository contains a machine learning project focused on predicting the likelihood of diabetes in patients using the powerful Support Vector Machines (SVM) algorithm. Diabetes is a critical health concern worldwide, and accurate prediction can greatly aid in early intervention and personalized patient care.

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Tejindersingh1/Tumor-Prediction-with-ML

Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.

Language: Python - Size: 1.38 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

Bharati2301/Job-Resume-Filtering

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slmttndrk/Turkish_Dictionary-Rules-_Based_Sentiment_Analysis

THIS PROJECT IS ABOUT TURKISH DICTIONARY(RULES) BASED SENTIMENT ANALYSIS

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bfraser4/Unsupervised-Machine-Learning

Model, fit, predict unsupervised ML models.

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mdmahikaishar/Sentiment-Checking

This Is A Sentiment Checking Program. It's Check The Sentence Is Positive Or Negative. It's Created By Python With Sklearn.

Language: Python - Size: 3.16 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1

ACSEkevin/Industrial-Programme-with-AMRC-Sheffield

ITP Additive Manufacturing (Process Monitoring) MA3

Language: Python - Size: 1.73 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

igorofrante/PICIII

Projeto Integrador de Computação 3

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vituenrique/sports-teams-detector

Project that aims to track each player and tell for which team they play. This project was developed and tested only in gymnasium sports such as futsal, basketball and volleyball

Language: Python - Size: 5.48 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

bloo-berries/Crypto-Clusters-Unsupervised-ML

Reporting which cryptocurrencies are on the trading market and determining whether they can be grouped to create a classification system for this new investment

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bloo-berries/Supervised-Machine-Learning-Credit-Risk

Building a machine learning model which attempts to predict whether a loan from LendingClub will become high risk or not.

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AnilNITT/Womens-Clothing-E-Commerce-Reviews-using-NLTK

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Karla-Flores/Arrests-Predictor

This group project aims to predict the arrest of different types of crime given a specific input (day/ location/etc.) using machine learning models.

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