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Certificate (Data Science)

[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.

(4.9) 803 reviews

5,442 learners

Level Beginner

Course period 12 months

  • roadmap
Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
Engineer Big Data Analysis
Engineer Big Data Analysis
Big Data
Big Data
Python
Python
Pandas
Pandas
Machine Learning(ML)
Machine Learning(ML)
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🍦 Official example problem work type 2 lecture update

I updated the official preparatory problem work type 2 lecture! Be sure to check it out before the exam!

  1. Provided as 2 data instead of 3 data

  2. There is only a roc-auc evaluation index, and no mention of submitting it as a probability.

  3. How to compare when there are too many categories to compare visually

  4. Submission is also possible without train_test_split

  5. Label encoding

I'm dealing with your back!!

 

Must do

  • Handling missing values

  • Encoding ( choose either label or one-hot)

 

You can do it, but if it's difficult, you don't have to do it

  • train_test_split

  • Scaling

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