In this workshop, we will introduce the Data Science principles (pipeline) required to tackle real-world, data-rich problems from a Business and Academia perspective. For more information and registration, please click here.
Agenda:
11:30 AM- 11:50 AM Data acquisition, cleaning, and aggregation
11:50 AM- 12:10 PM Exploratory data analysis and visualization
12:10 PM- 12:20 PM Feature engineering
12:20 PM- 12:30 PM Model creation and validation
12:30 PM- 1:30 PM Hands- on Activity using Watson studio
This activity will include acquiring data from Kaggle, cleaning the data, importing it into project, building the model, and finally exposing it on Watson ML.
Skill Level: Beginner
Speakers:
1. Kunal Malhotra: http://ibm.biz/kunalmalhotra1
2. Zeeshan Mehdi: https://www.linkedin.com/in/zmehdi/
– Sign up for your IBM Cloud account – http://ibm.biz/datasci
– Bring your Laptop!
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