머신 러닝 1 강의 계획서
| 주차 | Topic | 내용 |
|---|---|---|
| 01주차 | Understanding AI and Machine Learning | Course Orientation, ML Overview |
| 02주차 | Basic Math in ML | Probability, Linear Algebra, Derivative |
| 03주차 | Numpy Basics (.ipynb) | Numeric Operation in ML |
| 04주차 | Data Visualization | Matplotlib Basic Visualiaztion for ML using Matplotlib |
| 05주차 | Pandas Basics for ML | Series, DataFrame, Indexing, Selection, Missing Data, Basic Operations |
| 06주차 | Pandas Applications and Regression Preview | Not ready yet |
| 07주차 | ||
| 08주차 | Midterm Exam |
(자료 없음) |
| 09주차 | ||
| 10주차 | ||
| 11주차 | ||
| 12주차 | ||
| 13주차 | ||
| 14주차 | ||
| 15주차 | Final Exam |
(자료 없음) |