College project | Wine Classification Kaggle challenge with Wine Dataset 🐍 ✔️
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Updated
May 26, 2024 - Jupyter Notebook
College project | Wine Classification Kaggle challenge with Wine Dataset 🐍 ✔️
This repository contains code for a machine learning project focused on predicting the likelihood of a person having diabetes. The project includes the implementation of various classification models and an Artificial Neural Network (ANN) for classification.
🚀 Developed a Python-based ML model for SMS and Email spam detection using NLP. Achieved high accuracy and precision! 📧🤖🔍 #MachineLearning #NLP #SpamDetection
Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.
fraud detection in online transactions menggunakan machine learning classification adalah proses membangun model prediksi fraud berdasarkan fitur-fitur tertentu. Dalam proyek ini, saya mengambil pendekatan end-to-end, mulai dari data mentah, eksperimentasi pemodelan, dan API menggunakan FASTAPI.
Halo! Selamat datang di repository ku. Ini adalah model klasifikasi gagal jantung yang mempunyai akurasi sebesar 89% dengan algoritma Bagging! -Final Project H8
Modelo em IA que classifica se um cogumelo é ou não venenoso
👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍
This project predicts hotel booking cancellations using Machine Learning techniques, benefiting both travelers and hotels.
Predicting the stability of electrical grids using a binary classification model.
Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble
This is a Malware Detection ML model made using Random Forest Algorithm
This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid
This is my Hamoye Stage C tag-along project. The notebook focuses on applying Machine Learning Classification models and Measuring Classification Performance.
Early prediction of Mortality Risk among Covid -19 Patients in early stages when patients gets admitted into the hospital.
This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the de…
This is a project where Classification Models were built to predict whether a grid is stable or unstable going by the Provided Dataset
Predict whether a person will default on a loan or not.
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