In this course, you will: a) understand the basic concepts of machine learning. b) understand a typical memory-based method, the K nearest neighbor method. c) understand linear regression. d) understand model analysis. Please make sure that you鈥檙e comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.
How k-NN works
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Skills You'll Learn
Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Probability, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Statistical Methods, Linear Algebra, Python Programming
Reviews
4.3 (75 ratings)
- 5 stars62.66%
- 4 stars18.66%
- 3 stars12%
- 2 stars2.66%
- 1 star4%
AW
Jun 11, 2025
good course, but the speaking style of teacher is quite hard to understand for me.
DU
Apr 8, 2024
Very help full and good explanation in every part of lecture
Taught By
Jaekwang KIM
Assistant Professor