Course Materials and Notes
Fundamentals and basic concepts of data science.
Methods and algorithms for prediction and classification with labeled data.
Techniques for finding patterns in unlabeled data.
These course materials are derived from the official course curriculum with supplementary notes and explanations added to enhance comprehension and clarity.
While every effort has been made to ensure accuracy, these notes represent personal interpretations of the course content.
Please note that these materials are provided for educational purposes only.
I don't give any warranties regarding completeness, reliability, or accuracy of the content and disclaim responsibility for any errors, omissions, or misinterpretations that may be present.
For authoritative information, students should always refer to the official course materials and consult with course instructors.