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anaconda

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This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

  • Updated Jun 4, 2024
  • Jupyter Notebook

JupyterLab based Python Tutorials. These are detailed markdown tutorials covering installation, markdown, text datatypes, numeric data types, collections, programming constructs, the collections, itertools, math, random, datetime, statistics, sys, operating system, abc, csv and pickle modules, the numpy, pandas and matplotlib libraries.

  • Updated Jun 3, 2024
  • Jupyter Notebook

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