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machine-learning-algorithm

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FR-IQA-Algo

UPIQAL is a 100% automated Full-Reference Image Quality Assessment (FR-IQA) framework. It synthesizes deep feature statistics, probabilistic uncertainty, and spatial heuristics to replace human MOS and output spatially localized diagnostic heatmaps for visual artifacts.

  • Updated Apr 19, 2026
  • Python

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.

  • Updated Jan 21, 2026
  • Jupyter Notebook

🍾 A comprehensive machine learning project using Random Forest algorithm to predict wine quality based on physicochemical properties. Features EDA, model training, hyperparameter tuning, feature importance analysis, and detailed documentation.

  • Updated Jul 26, 2025
  • Jupyter Notebook

Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

  • Updated Oct 24, 2023
  • Jupyter Notebook

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