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outlier-detection

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nicolepcollins / nashville-housing-dataset-cleaning

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This project demonstrates data cleaning on the Nashville Housing dataset (2013–2016) using R and packages like tidyverse, lubridate, and janitor. Key steps included standardizing column names, handling missing values, formatting dates, cleaning text fields, and identifying outliers. The cleaned dataset is now ready for analysis and modeling to unco

machine-learning r tidyverse r-markdown outlier-detection missing-data data-preprocessing predictive-modeling data-cleaning real-world-project data-cleaning-preprocessing
  • Updated Jun 6, 2025
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ashva7 / customer_segments

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Customer Segments - Machine Learning Nanodegree from Udacity

machine-learning udacity clustering heatmap machine-learning-algorithms pca-analysis pca gaussian-mixture-models dimensionality-reduction outlier-detection k-means unsupervised-learning udacity-nanodegree scatter-matrix feature-transformation biplot udacity-machine-learning-nanodegree unsupervised-machine-learning k-means-clustering customer-segments
  • Updated Oct 15, 2018
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