IBM Training
IBM Training
Jan 28, 2010
ibm.com
Before becoming an @IBM Data Scientist, Lucy Xu's goal was to master the skill of A/B testing with python. She cites this essential skill as being a great boost to her personal projects, as well as her career development since most data analyst and scientist positions list A/B testing as a preferred skill. That's why she made this free guided project breaking down the process of formulating hypotheses, creating test variations, defining success metrics, and analyzing results with Python's statis
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"The idea behind this project is creating an interactive challenge that fuses finance with data and machine learning" IBM Data Scientist and Economics PhD Candidate, Wojciech Fulmyk built this new guided project to gives learners hands-on experience with Python and advanced time-series models. In this advanced project you will leverage #Python, random forest, linear regression, and ARIMA-like models to uncover hidden trends and correlations. Discover the art of conducting seasonal adjustments, e
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