Hands-On Machine Learning with Python [DAY- 24] | Hypothesis Testing, Errors & Distributions! #ML

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#Inzint

Join Inzint's in-depth training session on Hypothesis Testing, where we’ll break down the essential steps and rules to conduct meaningful statistical tests. You’ll explore key concepts, from setting up hypotheses to making data-driven decisions, while understanding the types of errors that can occur in hypothesis testing.

We’ll guide you through practical demonstrations, showcasing how to compare distributions and interpret results to validate or reject hypotheses. Whether you’re new to hypothesis testing or looking to sharpen your statistical analysis skills, this session is designed to equip you with practical knowledge for real-world data applications.

Don’t miss out on this opportunity to strengthen your understanding of hypothesis testing and its impact on decision-making!

Let’s turn data into actionable insights together at Inzint! 📊

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Timecodes-
00:00 - recap
00:30 - hypothesis steps - null/alternative
06:15 - decision rules
10:59 - decisio errors
14:30 - demo
48:00 - t vs normal distribution

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Tags-
#HypothesisTesting
#DataAnalysis
#StatisticalAnalysis
#DataScience
#StatisticalTesting
#HypothesisSteps
#ErrorTypes
#DistributionComparison
#DataDrivenDecisions
#InzintTraining
#TechWorkshop
#StatisticsInPython
#DataTesting
#DecisionMaking
#RealWorldData
#PythonForDataScience
#AnalyticsTraining
#LearnStatistics
#HypothesisValidation
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