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.

Data Mining

Course Resources

Everything you need to master Data Mining

Books

8 resources
Elems. of Stat Learning
📚

Elems. of Stat Learning

Springer Series

Data Science from Scratch
📚

Data Science from Scratch

Joel Grus

Fundamentals of ML
📚
Download

Fundamentals of ML

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

Hands-On ML
📚
Download

Hands-On ML

Aurélien Géron

Conda Cheat-Sheet
📚
Download

Conda Cheat-Sheet

Anaconda

Numpy Cheat-Sheet
📚
Download

Numpy Cheat-Sheet

DataCamp

Pandas Cheat-Sheet
📚
Download

Pandas Cheat-Sheet

DataCamp

Matplotlib Cheat-Sheet
📚
Download

Matplotlib Cheat-Sheet

DataCamp

Websites

2 resources
IBM | Data Science
🌐

IBM | Data Science

Coursera

Intro to D.M.
🌐

Intro to D.M.

Minnesota Uni.

Drive

1 resources
Data Mining
💾

Data Mining

Sarra Arab

Resource Summary

8
Books
2
Websites
1
Drive