[Side Project After Work] Big Data Analysis Certification Practical Exam (Type 1, 2, 3)
We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.
5,357 learners
Level Beginner
Course period 12 months
You know that Task 2 is very important, right? You must get 40 points💪
I'm sharing a good competition (data) to practice for in preparation for the 7th round.
Fighting ! 👏👏👏
return
url: https://dacon.io/competitions/official/236193/overview/description
Baseline (Baseline Code): https://dacon.io/competitions/official/236193/codeshare/9409
Evaluation Criteria: RMSLE
Key Learning Points
When time series data is available, year, month, and day need to be created as new features.
Delete train columns that are not in the test column
What if the train and test categorical variable categories (types) are different?
How to implement rmsle evaluation index?
classification
url: https://dacon.io/competitions/official/236179/overview/description
Baseline (Baseline Code): https://dacon.io/competitions/official/236179/codeshare/9434
Evaluation Criteria: f1-macro
Key Learning Points
f1-macro evaluation index can also be used for binary classification
The difference from the exam is that in the competition below, you must create the test_id value and predicted value together when generating CSV.
For the test, you only need to create the predicted values in CSV format.