Tidy anomaly detection
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Dec 28, 2023 - R
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iqr
Here are 59 public repositories matching this topic...
Python scripts for processing, visualizing, and cleaning accelerometer and gyroscope data from MetaMotion wearable fitness tracking bands. Includes time-series preprocessing, sensor synchronization, and statistical outlier detection to prepare high-quality datasets for barbell exercise classification and repetition counting.
machine-learning data-visualization feature-engineering human-activity-recognition metamotion local-outlier-factor iqr chauvenet-criterion
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Aug 24, 2026 - Python
A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
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Jun 21, 2024 - Python
Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.
events alert gdelt trend gdelt-events unicef spike-analysis iqr trend-analysis fips140-2 preparedness
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Apr 27, 2026 - Jupyter Notebook
Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.
machine-learning data-mining random-forest scikit-learn jupyter-notebook hyperparameter-optimization outliers confusion-matrix support-vector-machines upsampling bagging iqr gridsearch scania-trucks interquartile-ranges aps-failure
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Mar 22, 2021 - Jupyter Notebook
Anomaly Detection Projects – Hands-on Python portfolio exploring clustering, model-based, and statistical anomaly detection techniques with full workflow, evaluation, and visualization on real-world datasets.
visualization python data-science clustering pca outlier-detection unsupervised-learning dbscan kmeans-clustering model-evaluation fraud-detection lof anomaly-detection isolation-forest z-score iqr joblib
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Jan 22, 2026 - Jupyter Notebook
Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task
visualization tensorflow numpy keras pandas outlier-detection tmd z-score iqr google-colab googlecolab outlier-detection-datasets geolife geolife-dataset transport-mode-detection
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Mar 8, 2024 - Jupyter Notebook
Feature Engineering with Python
pipeline data-normalization imbalanced-data outlier-removal zscore iqr label-encoding simple-imputer dummy-variables onehot-encoding ordinal-encoding column-transformer knn-imputer data-standardization modified-zscore
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Jan 11, 2026 - Jupyter Notebook
Classification problem using multiple ML Algorithms
numpy heatmap logistic-regression confusion-matrix statsmodels gradient-boosting-classifier multicollinearity smote iqr random-forest-classifier ada-boost-classifier gridsearchcv pandas-python precision-recall bagging-ensemble roc-auc-curve variance-inflation-factor linear-discriminant-analysis-classifier
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Feb 12, 2025 - Jupyter Notebook
Description of outliers
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Apr 6, 2023 - Jupyter Notebook
Cleans and validates raw data against predefined rules
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Mar 31, 2025 - Python
A statistical analysis of Indian movies data set.
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Dec 16, 2018 - Jupyter Notebook
Statistics and probability engineering with python
python distribution data-science model numpy histogram mathematics mean pandas seaborn matplotlib gaussian-distribution z-score iqr box-plot z-transform min-max-scaler scipy-stats
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Feb 14, 2026 - Python
Anomaly Detection Modelling - Statistical (IQR) and Machine Learning methods (OCSVM and Isolation Forest) implemented and evaluated to build an anomaly detection model for ship engine data. Completed as part of the Cambridge Data Science Programme.
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May 28, 2025 - Jupyter Notebook
The following data are numbers of passengers on flights of Delta Air Lines between San Francisco and Seattle over 33 days in April and early May. 128, 121, 134, 136, 136, 118, 123, 109, 120, 116, 125, 128, 121, 129, 130, 131, 127, 119, 114, 134, 110, 136, 134, 125, 128, 123, 128, 133, 132, 136, 134, 129, 132
python statistics mean range mode variance descriptive-statistics median standard-deviation percentiles iqr quartiles
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Feb 18, 2021 - Jupyter Notebook
Solution to Aczel problems practice (1-74, 1-75)
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Mar 3, 2021 - Jupyter Notebook
Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor
clustering data-visualization seaborn gaussian-mixture-models dimensionality-reduction outlier-detection data-preprocessing data-exploration principal-component-analysis feature-scaling feature-transformation biplot unsupervised-machine-learning iqr log-transformation
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Nov 2, 2019 - Jupyter Notebook
simple IQR & Z-score normalization script
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May 31, 2024 - Python
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