Python with AI II - Summer 2023
Classroom: zoom online
Class Time: Sunday 7pm
Class Time: Data Science with Python Course 1
Pre-requirements: python with AI I
Textbook: Learning Python
Course Description: Data Science with Python Course 2, learn coding from AI advanced projects, prepare usaco. ACSL, certifications, join contests
Course Goals: learn coding from AI projects, prepare certifications, join contests
Schedules of Teaching Topics
|
|
Date |
Lesson / Topic |
Optional Info: e.g. Assignment, Objective/Focus Points, Supplemental Material |
|
1 |
09/13/2020 First Day of School |
Introduction of AI, ML , pdf materials |
Project with ideas to use AI, ML |
|
2 |
|
Introduction of Python and ML with sample coding |
project with Python and ML |
|
3 |
|
ML 4 types with sample coding and use cases |
Projects with ML 4 types with sample coding and use cases |
|
4 |
|
Supervised ML with sample coding 1 |
Projects with Supervised ML with sample coding 1 |
|
5 |
|
Supervised ML with sample coding 2 |
Projects with Supervised ML with sample coding 2 |
|
6 |
|
Unsupervised ML with sample coding |
Projects with Unsupervised ML with sample coding |
|
7 |
|
Enforcement ML with sample coding |
Projects with Enforcement ML with sample coding |
|
8 |
|
Deep ML with sample coding |
Projects with Deep ML |
|
9 |
|
Deep ML with sample coding |
Projects with Deep ML2 |
|
10 |
|
|
Projects with Coding boardcast |
|
11 |
|
ML use cases analysis and data cleaning |
Projects with ML use cases analysis and data cleaning |
|
12 |
|
|
|
|
13 |
|
ML result visualizations |
Projects with ML result visualizations |
|
14 |
|
review and remember |
Final tests with own project |
- Teacher: David Zhang