mmaleki92 / ML_teaching

ML_teaching

course material for machine learning, taought in MFT Pirouzi. we want to cover:

• linear algebra
• probability
• classical machine learning
• Deep learning
• deep learning architectures

Frameworks and languages:

• Python
• Sklearn
• Tensorflow (+ keras)

assignment

check: https://github.com/EtzionR/Clustering-by-Silhouette and cluster the data using DBSCAN and K-means