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pca

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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.

  • Updated Apr 4, 2024
  • Jupyter Notebook

Machine_Learning_Techniques_Implementation notebooks. - Implement all ML techniques in python using SKLearn on different datasets. - Simple recommendation system - spam email classifier - Classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.

  • Updated Aug 6, 2021
  • Jupyter Notebook

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