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Data Mining

Data Mining module covers: Introduction to Data Mining, Data and Feature Engineering, Information Theory, Association Analysis, Clustering, Dimensionality Reduction, Factor Analysis, Feature Selection, Correlation Analysis, Anomaly Detection, and Case Studies.

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15 resources · 1 official

Books

9

  • Intro to Data Mining

    Univ of Minnesota Teachers

  • Data Mining: Concepts & Techniques

    JH, JP, HT

  • Data Science from Scratch

    Joel Grus

  • Fundamentals of ML

    A.D'Arcy, B.Mac Namee, J.D.Kelleher

  • Hands-On ML

    Aurélien Géron

  • Conda Cheat-Sheet

    Anaconda

  • Numpy Cheat-Sheet

    DataCamp

  • Pandas Cheat-Sheet

    DataCamp

  • Matplotlib Cheat-Sheet

    DataCamp

YouTube Channels

1

  • Data Mining Tutorials

    Mahesh Huddar

Websites

4

  • IBM | Data Science

    Coursera

  • Intro to D.M.

    Minnesota Uni.

  • D.M. Visualizations & Blogs

    Naftali Harris

  • D.M. Exercises

Drive

1
  • Official

    Data Mining

    Opening this needs your ENSIA email, the one ending @ensia.edu.dz

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