Lecture Slides

This section contains lecture slides and background material for learning data science with Orange. All slides are in powerpoint (pptx) format and portable document format (pdf).

Lecture slides 0: Installing Orange and Reading Data in Orange (pptx, pdf)

Lecture slides 1: What is Data Science? (pptx, pdf)

Lecture slides 2: Classification and Exploratory Data Analysis (pptx, pdf)

Lecture slides 3: Decision Trees and Random Decision Forests (pptx, pdf)

Lecture slides 4: Overfitting and Underfitting (pptx, pdf)

Lecture slides 5: Decision Trees and Random Decision Forests in Orange (pptx, pdf)

Lecture slides 6: Model Complexity and the Curse of Dimensionality (pptx, pdf)

Lecture slides 7: Support Vector Machines (pptx, pdf)

Lecture slides 8: Bayesian Classification (pptx, pdf)

Lecture slides 9: Preprocessing (pptx, pdf)