A Python Module for Outliers Detection, Visualization and Treatment in Oil Well Datasets
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Jun 10, 2023 - Jupyter Notebook
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outliers-treatment
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👩🏻🚀 13-DataMining: Clear, beginner-friendly explanations and hands-on resources on Principal Component Analysis (PCA) and Isolation Forest for Outlier Detection — designed to make unsupervised learning approachable for everyone. ✠💚✠
clustering isolation-forest-algorithm machinelearningprojects anomaly-detection-models outliers-detection pca-algorithm ai-data-science outliers-treatment unsupervisedlearning-algorithm unsupervised-learning-4-all
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Nov 10, 2025 - Jupyter Notebook
To perform exploratory data analysis and pre-process for future use in predictive studies.
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Apr 20, 2024 - HTML
📊 Explore data mining with this guide on Principal Component Analysis (PCA) and Isolation Forest for effective dimensionality reduction and anomaly detection.
clustering isolation-forest-algorithm machinelearningprojects anomaly-detection-models outliers-detection pca-algorithm ai-data-science outliers-treatment unsupervisedlearning-algorithm
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Dec 19, 2025 - Jupyter Notebook
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