machine learning

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

Mesh Morphing Gaussian Process (MMGP)

$ mldev | is a data science experiment automation and reproducibility toolkit.

check our experiment templates: https://gitlab.com/mlrep

Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing - https://arma.sourceforge.net

Bahn-Vorhersage - The best Train Delay Prediction System.

This project explores the application of Support Vector Machines (SVM) in classifying human cell records to predict the malignancy of breast cancer samples. By training an SVM model on a dataset of breast cancer features, the goal is to accurately differentiate between benign and malignant cases. This research aims to contribute to the development of early detection and diagnosis methods for breast cancer.

Neural networks, NLP sentiment analysis, Logistic Regression Classification, ...

Beginner projects that help and motivate me to keep learning.

This project aims to develop a dynamic pricing model for a ride-sharing service that can accurately predict optimal fares. The model will incorporate various factors, including demand patterns and supply availability, to ensure fair and efficient pricing for riders and drivers.

Pulmo is a web-based application that provides an easy-to-use interface for users to input their medical history and other relevant data to get a prediction of their risk of developing lung cancer. The project has also highlighted the importance of data preprocessing and feature selection in improving the performance of machine learning algorithms. Exploratory data analysis was also useful in identifying the most relevant features for predicting lung cancer.

A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection

Real Estate Price prediction plays a crucial role in both the real estate market and the economy at large. For investors, developers, and homeowners, accurate price predictions facilitate informed decision-making, investment planning, and risk management.

The main project for OctoMY™ - Ready-to-run robot software

GitLab is an open source end-to-end software development platform with built-in version control, issue tracking, code review, CI/CD, and more. Self-host GitLab on your own servers, in a container, or on a cloud provider.

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

Python software for identifying dynamical systems and hidden patterns from time series data

MAGI-CHRISTI