Data-Science-Algorithms-FUM

A course for M.Sc. students, Data Science, Ferdowsi University of Mashhad with Dr. Rasoul Ramezanian.

All course materials (Slides, Jupyter Notebooks, Theory and Practical Assignments, Projects, etc.) are freely available under Creative Commons BY license.

🛠️ Languages and Tools :

         

Copyright Notice

All materials are provided under Creative-Commons BY license. This course is crowd-sourced by a group of volunteer university students. If you noticed any copyright violation in texts, figures, etc., please report it by sending an email :)

Contents :

• Dimensionality Reduction

• Feature Selection

• Forward Selection
• Backward Elimination

• Linear Model

• PCA (Principal Component Analysis)
• FA (Factor Analysis)
• LDA (Linear Discriminant Analysis)
• SVD (Singular value decomposition)

• Manifold Learning

• Kernel PCA
• T-SNE

• Page Rank

• Apriori algorithm

• Clustring

• K-Means
• DBSCAN
• GMM (Gaussian Mixture Model)

• Classification

• Linear Sepration
• SVM(Support Vector Machine)

• Ensemble Learning

• Shapley Value