machine learning
Projects with this topic
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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.
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Resources for interns and new team members at Tangible AI
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A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection
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Armadillo: fast C++ library for linear algebra (matrix maths) & scientific computing - https://arma.sourceforge.net
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A tool to annotate radiology images.
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Sashimi - study the organisation and evolution of corpora
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The main project for OctoMY™ - Ready-to-run robot software
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This project aims to leverage an extensive dataset of flight booking records sourced from the "Ease My Trip" website to develop predictive models for estimating ticket prices. With a focus on incorporating various influencing factors such as airline choice, travel class, booking lead time, and other significant attributes, our goal is to create a robust analytical framework that enables stakeholders to gain insights into flight pricing dynamics.
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Instance Hardness analysis in Machine Learning
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My personal webpage
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Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL
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This project aims to leverage the Ames Housing Price Dataset to develop an accurate predictive model for estimating residential property sale prices in Ames, Iowa. By analyzing various property features and their relationships to sale prices, the project seeks to uncover insights that can inform both buyers and sellers in the housing market.
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Bahn-Vorhersage - The best Train Delay Prediction System.
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This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.
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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.
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Neural networks, NLP sentiment analysis, Logistic Regression Classification, ...
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