Salary prediction for TrudHack
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Updated
Jul 12, 2020 - Jupyter Notebook
Salary prediction for TrudHack
A collection of team projects
Master Thesis in AI focusing on TabNet in Drug Discovery
Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet
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.
Project developed for the Data Analytics course of the UniBO Master's Degree
Data Science Session: TabNet
Simple & basic practice of machine learning problems
Model to decide whether someone will or will not accept coupons from tabular data.
this project utilizes difference deep-learning algorithms to detect fraud operations on banking systems ( classification problem )
Tabular Data Processing lightgbm, tabnet, resnet
This is the solution for stock-market prediction problem given in flipr 5.0.
A methodology development using tabnet transformers for car insurance prediction.
The aim of this project is to experiment with various machine learning models that predict whether or not a patient will show up for a scheduled appointment. The project includes data processing and analysis. Also explainable AI methods are incorporated.
Regression task using techniques of Machine Learning, Deep Learning and Transformers
📊 A comprehensive comparison of TabNet and XGBoost across binary classification, multiclass classification, and regression tasks, showcasing performance metrics and fine-tuning results.
데이콘, 음향 데이터 COVID-19 검출 AI 경진대회
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