Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model

Ground water age predictor

Data preprocessing and training on Drug Review Dataset using Hugging Face library

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

AWS + Typescript: Lambda Function to read a CSV file to be triggered after a file is included in a S3 bucket

This project aims to build a GUI for custom drawing classifier, which user can input their own classes and provide examples of classes to predict further custom drawings.

Atividade prática de Redes Neurais

Japanese derogatory text classifier

Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions

Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.

Scoring model for financial company - all files

Music genre Classification with different models fine tuning and performance comparisons

comparing various classifier models for a dataset and finding a more accurate, precise model for the dataset.

TLDS is an adaptive traffic light and autonomous system that is able to autonomously direct itself to determine the most efficient traffic cycle.

This is a Data Science task related to kaggle challenge of Titanic Spaceship

Supervised learning-based classifier to determine whether a given email is spam or ham.

This repository contains code and a trained Keras model for classifying fruits using image recognition and machine learning. The model was trained on a dataset of fruit images from the Fruits & Vegetables by Jorge B's dataset.

This repository contains implementations of Logistic Regression and Linear Regression classifiers for multiple datasets. The Logistic Regression model is trained using a slightly modified Maximum a Posteriori (MAP) learning approach with gradient descent.

Analyse de Texte Juridique 📜 : Comparaison des modèles NLP pour la classification de textes de procédures judiciaires indiennes 🏛️. Inclut l'entraînement 🏋️‍♂️, l'évaluation 📊 et l'analyse d'erreurs 🕵️‍♂️. Utilise LegalBERT ⚖️, DistilBERT 🧪 et Roberta 🤖.

A DeepLearning model to classify aerial images which can identify multiple (predefined[labelled]) elements in it.