Topics

• 01 Data Wrangling
• 02 Data Applications
• 03 Data Description & Visualization
• 04 Outliers & Visualization Techniques
• 05 Iris Dataset & Histograms
• 06 Data Visualization & Handling Techniques
• 06-revision Data Handling Visualization
• 07 Text Processing & Data Linkage
• 08 Data Linkage, Hashing & Sales Prediction
• 09 Mutual Information, Entropy & Correlation
• 09-revision Data Linkage and Hashing
• 10 Regression Analysis, Decision Trees
• 11 Clustering & Dimensionality Reduction
• 12 Recommender Systems & Privacy
• 12-revision ML Techniques
• 13 Big Data & Privacy
• Final Exam Revision Notes
• q01
• q02
• q03
• q04
• q06
• q07
• q08
• q09
• q10
• q11
• q15