![]() |
Lead Data Scientist at 84.51°
Academic
Contact
|
![]() |
Lead Data Scientist at 84.51°
Academic
Contact
|
We'll go around the room. Please share:
The following are the primary learning objectives of this course:
Day | Topic | Time |
---|---|---|
1 | Introductions | 12:45 - 1:00 |
Setting the Stage | 1:00 - 1:15 | |
Git & version control | 1:15 - 2:00 | |
Break | 2:00 - 2:15 | |
EDA & Our First scikit-learn Model | 2:15 - 3:45 | |
Q&A | 3:45 - 4:15 | |
2 | Q&A | 12:45 - 1:00 |
Modular Code | 1:00 - 2:00 | |
Feature Engineering | 2:00 - 3:00 | |
Break | 3:00 - 3:15 | |
Case Study, pt. 1 | 3:15 - 4:00 | |
Q&A | 4:00 - 4:15 |
Day | Topic | Time |
---|---|---|
3 | Q&A | 12:45 - 1:00 |
Model Evaluation & Selection | 1:00 - 2:15 | |
Break | 2:15 - 2:30 | |
More on Modular Code | 2:30 - 3:15 | |
Unit Tests | 3:15 - 4:00 | |
Q&A | 4:00 - 4:15 | |
4 | Q&A | 12:45 - 1:00 |
More on Unit Tests | 1:00 - 1:30 | |
ML lifecycle management | 1:30 - 2:30 | |
Break | 2:30 - 2:45 | |
Case Study, pt. 2 | 2:45 - 3:45 | |
Case Study Review, pt. 2 and Q&A | 3:45 - 4:15 |
Beginners typically need the instructor to make connections and solve problems for them.
Why is this code not running? What types of real world problems could I use this package for?
But as intermediate to advanced users, we believe you'll be more capable of seeing those connections yourselves. Instead of diving into details and working through small code examples, this advanced workshop takes a slightly different approach...
Are there any questions before moving on?