Thu | July 11, 2019 | 6:30pm - 8:00pm
Hypothesis testing in Machine Learning using Python
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Key takeaways for you
- Understanding of Hypothesis Testing process
- Learning the Importance of p-value
- Knowing the errors in hypothesis testing
- Implementation of hypothesis testing in Python
Tristan studied aeronautical engineering, then moved into software engineering after a short career in helicopter flight testing. He designed integration software in financial services before moving into distributed systems and big data. Tristan now builds predictive analytics solutions in the micro-insurance industry, using automated machine learning tools in PySpark.
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