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IntSys
Course description and students obligations 2023/24
Course description and students obligations 2023/24
About lecturers, contents, grading, and literature.
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Course description Intelligent Systems 2023.pdf
za ogled datoteke.
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Lecture slides 2023/24
Some recordings of the partially outdated lectures are available in MS Teams, UL FRI Intelligent systems team, use the code 6zwq5bg for access.
Literature and readings
Samples of written exams
A sample of oral exam questions
IS Seminar 1
dataset
Seminar 1 time slots
Submission of the first Assigmnent
Assignment 2
Dataset 2
Seminar 2 - time slots
Seminar 2 - submission
Data analyist is a top job
Data science cheatsheet
Quiz 1
Quiz 2
Quiz 3
Quiz 4
Quiz 5
Introduction to Python (Python Notebook)
Problems (Python Notebook)
Solutions (Python Notebook)
Code
Problems
solutions
"players.txt" data set
"movies.txt" data set
Visualization - code
Problems
Solutions
"tic-tac-toe-learn.txt" data set
"tic-tac-toe-test.txt" data set
Code
Problems
lab4 solutions
"cars.txt" data set
"spamlearn.txt" data set
"spamtest.txt" data set
"vehicle.txt" data set
"student.txt" data set
Code
Problems
Solutions
"quadrant.txt" data set
Neural Networks
problems
nlp
Solutions
Feature selection
Model explainability
quadrant
Clustering
Ensemble learning
vehicle.txt
worldcities.csv
Problems
Reinforcement learning - Problems
Reinforcement learning
Lecture slides 2023/24 ►