Simple ipynb for testing and demonstrating scikit-learn KMeans clusterization algorithm and finding the Optimal Cluster Number
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Updated
Sep 26, 2020 - Jupyter Notebook
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optimal-clustering
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Explore cryptocurrency market trends with Python using unsupervised learning techniques. Using Jupyter Notebooks to implement K-means clustering and Principal Component Analysis (PCA) to analyze and predict price trends of cryptocurrencies over 24-hour and 7-day periods.
scikit-learn
pandas
data-visualization
cryptocurrency
pca
data-analysis
data-preprocessing
unsupervised-learning
k-means-clustering
hvplot
price-analysis
optimal-clustering
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Updated
Apr 4, 2024 - Jupyter Notebook
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