Research Project Luca Nederhorst
-
Updated
Jun 27, 2024 - Python
Research Project Luca Nederhorst
Encyclopaedia Metallum Genre Classifier
This project is a web application for predicting loan approval status based on various financial and personal attributes. It uses a machine learning model that I trained on historical loan data to make predictions. I built the web application using Flask for the web framework, SQLite for the database, and the pre-trained model saved with joblib.
Airbnb Price in NYC ( Select Boroughs )
This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.
The Diabetes Prediction Application serves as a valuable tool for individuals to assess their risk of diabetes based on personal health information. By leveraging machine learning techniques, the application provides accurate predictions, aiding users in making informed decisions about their health.
Fast and accurate sequence demultiplexing
Comparing Classifiers
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
A simulation study completed during a visit at the Microsoft Research, Cambridge (May-Sept, 2022)
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
Classifiers to Mine For Ligandable Binding Cavity in RNA
This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)
Machine Learning Projects
Diagnostic performance of HPV-DeepSeek, a hybrid capture whole genome sequencing liquid biopsy for HPV-associated cancers
Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
EDA of Brain Tumor Data, Heart Disease Classifier
Add a description, image, and links to the classifiers topic page so that developers can more easily learn about it.
To associate your repository with the classifiers topic, visit your repo's landing page and select "manage topics."