Date | Topics | Note |
---|---|---|
2/16 | * Course introduction * Python environment setup * Variables, expressions and statements |
notebooks |
2/23 | * Functions |
|
3/2 |
* Conditionals Control Flow |
|
3/9 |
* Iteration & For-Loops |
|
3/16 |
* Strings |
|
3/23 |
* Recursion |
|
3/30 |
* Set and Dict |
|
4/6 |
Midterm Exam |
|
4/13 |
* Classes and Objects |
|
4/20 |
* Numpy |
|
4/27 |
* Data Analysis with Numpy and Pandas |
|
5/4 |
* ML Libraries in Python |
|
5/11 |
* Data Preprocessing |
|
5/18 | * Data Clustering | |
5/25 |
* Dimension Reduction |
|
6/1 |
Final Exam |