Level: Intermediate
Han Sung Kim, Vice President, WiseMeca
In order to improve the chronic problems such as the occurrence of defects in the manufacturing and equipment industries or a decrease in the facility operation rate, efforts have been made to improve a lot of data generated in the field with Data Science.
Therefore, for Citizen Data Scientists who want to improve the problems in the field, I would like to introduce a case of re-establishing the problem solving methodology in a big data environment through analysis-modeling-optimization using JMP.
* Problem solving methodology to be introduced: DATA Roadmap (Detect-Analyze-Transform-Apply)
One.Detect: Data Setup and NA and Outlier processing
2.Analyze: Exploration and effective factor screening
3. Transform: Train/Test Data Set classification and modeling analysis
4. Apply: Optimal modeling selection and factor optimal condition calculation
