ML-projects

Machine learning projects that were done as part of the Y-data course.
Done together with Neta Kohn.
Course instructors: Lior Sidi, Noa Lubin, Segev Arbiv, Guy Shtar and Gleb Ivashkevich

Machine learning algorithm implementations:

• K-Nearest Neighbours implementation
• Gradient descent implemtation
• SVM (PEGASOS) implementation
• Naive Bayes implementation

Additional tasks:

• Time series classification
• Anomaly detection