We will conduct a comprehensive analysis of the dataset, focusing on identifying key features that influence outcomes. To achieve this, we will employ Logistic Regression and TabNet models to discern feature importance.

Different ML algorithms for property valuation in the Netherlands

Predicting writing quality based on data statistics of the writing process. The key lies in feature engineering and tree models.

A TabNet-based, Bayesian-optimized pipeline for predicting typhoid fever diagnosis from Bangladeshi clinical biomarker data.

Salary prediction for TrudHack

Model to decide whether someone will or will not accept coupons from tabular data.

Predicting DDoS attacks using Machine learning models (Random Forest, XGBoost, TabNet) with feature selection and evaluation on network traffic data.

Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

Simple & basic practice of machine learning problems

Data Science Session: TabNet

Deep learning models are used to analyze complex relationships among mental health factors

Collection of team projects from grad school

Project developed for the Data Analytics course of the UniBO Master's Degree

The source-code accompanying the paper titled, 'Analysis of RNA-Seq Data using Self-Supervised Learning for Vital Status Prediction of Colorectal Cancer Patients', submitted to BMC Bioinformatics, January 2023.

This project is used to predict fault in automotive engines and detect the probability or risk of failure. It makes use of TabNet, a machine learning model for predicting the risk of failure. It makes use of OpenAI LLM model for generating a report.

Solar Flare Prediction Using Deep Learning

DeepSequence: A modular deep learning architecture for multi-horizon time series forecasting with TabNet encoders, cross-interaction layers, and interpretable seasonal/regressor components.

Tabular Data Processing lightgbm, tabnet, resnet