Fundamentals to Hypothesis Testing
About the session :
Explain the hypothesis testing concept, Type 1 error, Type 2 error.
Perform hypothesis testing for a population proportion using 1) p-value approach and 2) rejection region approach.
Confidence Interval concept, t-test, etc.
Use CI to conclude about a two-sided test.
About the speaker :
Julian has the ability to tell stories through data and help people make better decisions everyday delights the creative engineer in her. For every solution or product that she has been a part of, she strives to build beautiful visualisations and functional designs since she believes people seek experiences not just products or tools.
She is keen on getting minute details right and enjoys understanding the science behind any product. She has worked on enhancing the efficiency of ML algorithms, aligned the expressions into frameworks, preprocessing data to facilitate, calibrating according to relevant scopes and signals.
Her interest in Data Science led her to become a WiDS Ambassador to inspire Data scientists, encourage young girls to choose the field by showing them examples of women using DS in various fields.
----
Connect with us:
Website: https://dphi.tech
LinkedIn: / dphi
Instagram: / dphi.tech
Facebook: / dphi.tech
Twitter: / dphi_tech