The goal of this project is to build a machine learning model that automatically classifies emails as spam (unwanted) or ham (legitimate). The model will be trained on a labeled dataset and use features extracted from the email content to predict whether an email is spam or not.

An Ethical AI framework, laying the foundation for success in AI development

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Pytorch MIL pipeline for breast ultrasound cancer research

Yapay veri seti oluşturma, veri görselleştirme, veri setini eğiltme, test, lojistik regresyon ve modelin değerlendirilmesi.

Guide on how to structure and implement machine learning pipelines.

ML model predicting League of Legends match outcomes with 87.9% accuracy pre-game. Outperforms 50% ELO baseline utilizing historic match data and machine learning.

RSNA 2024 Lumbar Spine Degenerative Classification Training Script

Bittensor Subnet for crypto prediction, including TAO, BTC, ETH so on...

🐾 Training a machine learning model to recognize 15 different animal classes and classify images accordingly.

Spam email classifier using Natural Language Processing (NLP) techniques. Train models like Naive Bayes on spam datasets. Libraries: nltk, scikit-learn, pandas Skills: Text classification, feature extraction (TF-IDF, Bag of Words)

Simpler Distil-Whisper

A script that can be used to capture various porn novels for machine learning / 一个可以用于抓取各类色情小说用于机器学习的脚本

This repository contains a Convolutional Neural Network (CNN) model designed for brain tumor classification using MRI images. The model employs multiple convolutional layers, batch normalization, dropout for regularization, and fully connected layers to achieve high accuracy.

pipeline for Mangio RVC Fork

This repository contains code and resources for training, fine-tuning, and deploying large language models using Hugging Face's Transformers library.

A lambda function split preprocessed data into training and validation used for starting a training job within AWS SageMaker.

A Python tool for training neural network models using web scraping

A Python script that implements a simple linear regression model to predict employee salaries based on years of experience, with predictions for mid-level and senior-level roles.

Filters the COCO dataset to include only specific classes