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.
Course Resources
Everything you need to master Data Mining
Books
9 resources
📚
Intro to Data Mining
Univ of Minnesota Teachers
📚
Data Mining: Concepts & Techniques
JH, JP, HT
📚
Data Science from Scratch
Joel Grus
📚
Download
Fundamentals of ML
A.D'Arcy, B.Mac Namee, J.D.Kelleher
📚
Download
Hands-On ML
Aurélien Géron
📚
Download
Conda Cheat-Sheet
Anaconda
📚
Download
Numpy Cheat-Sheet
DataCamp
📚
Download
Pandas Cheat-Sheet
DataCamp
📚
Download
Matplotlib Cheat-Sheet
DataCamp
YouTube Channels
1 resources
📺
Data Mining Tutorials
Mahesh Huddar
Websites
4 resources
🌐
IBM | Data Science
Coursera
🌐
Intro to D.M.
Minnesota Uni.
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D.M. Visualizations & Blogs
Naftali Harris
🌐
D.M. Exercises
Drive
2 resources
ENSIA Students Only
Access with institutional email
...@ensia.edu.dz
💾
Data Mining
ENSIApedia Drive
💾
Data Mining
Sarra Arab
Resource Summary
9
Books
1
YouTube Channels
4
Websites
2
Drive