Inferential Statistics 11 AM Batch Bootstrap Confidence Interval Training : Session 11 скачать в хорошем качестве

Inferential Statistics 11 AM Batch Bootstrap Confidence Interval Training : Session 11

Bootstrap Confidence Interval, Hypothesis Testing, P-Value, Output Metrics & Types of Errors | Inferential Statistics | Data Science with AI In this video, we dive deep into some of the most important concepts of Inferential Statistics used in Data Science, AI, and Machine Learning. If you want to understand how statistical decisions are made using sample data, this session will give you complete clarity with practical explanations. 🔹 What you’ll learn in this video: ✔ What is Bootstrap Confidence Interval (Resampling Technique) ✔ Why Bootstrap is powerful in real-world data analysis ✔ What is Hypothesis Testing? ✔ Null Hypothesis (H₀) vs Alternative Hypothesis (H₁) ✔ Understanding P-Value in simple terms ✔ Output Metrics in Statistical Testing ✔ Type I Error & Type II Error ✔ Significance Level (Alpha) ✔ Real-world examples in Data Science & Business Analytics 📊 These concepts are widely used in: • A/B Testing • Machine Learning Model Validation • Business Decision Making • Experiment Analysis • Performance Evaluation We also explain how these statistical concepts are implemented practically using tools like Python for real data analysis. This session is ideal for: 🎓 Data Science Students 📊 Statistics Learners 💼 Working Professionals 🚀 Aspiring AI & ML Engineers Mastering Bootstrap, Hypothesis Testing, and Error Types will strengthen your foundation in Data Science and AI. 📌 Like, Share & Subscribe for more Data Science, AI & Statistics tutorials. #Bootstrap #ConfidenceInterval #HypothesisTesting #PValue #InferentialStatistics #DataScience #MachineLearning #AI #Statistics