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Data Modelling Video Lecture | Artificial Intelligence for Class 10
FAQs on Data Modelling Video Lecture - Artificial Intelligence for Class 10
| 1. What is the AI project cycle in the context of modeling? |  |
Ans. The AI project cycle consists of several stages including problem definition, data collection, data preparation, model building, model evaluation, and deployment. In the context of modeling, this cycle emphasizes the importance of creating a model that accurately represents the problem and can make predictions or decisions based on the input data.
| 2. How do I collect data for my AI modeling project? | |
Ans. Data collection for an AI modeling project can be done through various methods such as surveys, web scraping, using existing datasets, or sensor data collection. It is important to ensure that the data collected is relevant, of high quality, and sufficient in quantity to train your model effectively.
| 3. What are some common techniques used in AI modeling? | |
Ans. Common techniques used in AI modeling include linear regression, decision trees, neural networks, support vector machines, and clustering algorithms. The choice of technique depends on the specific problem being addressed, the nature of the data, and the desired outcome.
| 4. How do I evaluate the performance of my AI model? | |
Ans. The performance of an AI model can be evaluated using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC. It is essential to use a separate validation dataset to assess the model's performance and ensure that it generalizes well to unseen data.
| 5. What should I consider before deploying my AI model? | |
Ans. Before deploying an AI model, consider factors such as the model's accuracy, the scalability of the solution, potential biases in the data, and ethical implications. Additionally, it is important to have a plan for monitoring the model's performance post-deployment and making updates as needed.
About this Video
Sep 07, 2025
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Video Description: Data Modelling for Class 10 2025 is part of Artificial Intelligence for Class 10 preparation.
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