In this video, we will study Model Development (Statistical Modeling) from Chapter 5: Data Analytics – 11th Class Computer Science. This topic explains how statistical models are built step by step to analyze data and make predictions about the future.
👉 What you will learn in this video:
What is Statistical Modeling in simple words
Everyday examples of models (like predicting grocery expenses or exam results)
Steps of Model Development:
Define the problem
Collect data
Choose an algorithm (Linear Regression, Logistic Regression, etc.)
Train the model
Evaluate the model
Understanding the importance of model evaluation with performance metrics
Real-world uses of statistical models in business, education, healthcare, and sports
Easy explanation of how models help in decision-making and forecasting
📚 Class: 11th Class Computer Science
📖 Chapter: Data Analytics
🎯 Topic: Model Development (Statistical Modeling)
📌 For Better Understanding, Watch all Playlists with Sequence:
Chapter 1: Introduction to Software Development
• Software Development | SDLC Stages | 11th ...
Chapter 2: Python Programming
• Introduction to Python Programming | 11th ...
Chapter 3: Algorithms and Problem Solving
• Understanding Computational Problems | 11t...
Chapter 4: Computational Structures
• Lists | Computational Data Structure | 11t...
Chapter 5: Data Analytics
• Measures of Central Tendency | Data Analyt...
Chapter 6: Emerging Technologies
• Future trends and Innovations | Evolving t...
Chapter 7: Legal & Ethical Aspects of Computing System
• Understanding Terms of Use | 11th Computer...
Chapter 8: Online Research and Digital Literacy
• Understanding Intellectual Property | 11th...
Chapter 9: Entrepreneurship in Digital Age
• Design Thinking and Business Solutions | 1...
Other Related Playlists:
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