This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.
This course is part of the Advanced Data Science with IBM Specialization
About this Course
Syllabus - What you will learn from this course
Week 1 - Identify DataSet and UseCase
Week 2 - ETL and Feature Creation
Week 3 - Model Definition and Training
Model Evaluation, Tuning, Deployment and Documentation
- 5 stars76.86%
- 4 stars14.89%
- 3 stars3.98%
- 2 stars1.86%
- 1 star2.39%
TOP REVIEWS FROM ADVANCED DATA SCIENCE CAPSTONE
I loved this course. It forced me to think. It forced me to revisit all of the previous courses. It forced me outside of my comfort zone, and into my true learning zone.
Like that course. It combine all you skills in a one project. It is very helpful for the understanding why and how ML can help for the business. Personal thanks for Romeo Kienzler!
This is data crunching, varied machine learning model exploring, training, testing, validating and deployment course. What a goldmine for both novices and seasoned and initiated!
Good course. But the peer-rating system could be improved: it takes a long period of time (several days) to get a review.
About the Advanced Data Science with IBM Specialization
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