create a quiz feed back system after user gives an incorrect response give correct response and if the user is still unable to understand ask for his feed in case where user marks response not helpful then an alternative explanation is given... corrective_lesson: 
 topic: Unsupervised Learning
 bloom_target_level: Understanding
 content: Unsupervised learning actually uses unlabelled data. Think of it like this: In supervised learning, you have a teacher (labels) guiding the model. In unsupervised learning, the model is like a student trying to find patterns in the data on its own, without any labels or guidance. For example, grouping similar customers based on their buying behavior is an unsupervised task because you don't have pre-defined labels for the groups. .... alternative_explanation: 
 topic: Unsupervised Learning
 bloom_target_level: Applying
 content: Consider a real-world scenario where a company wants to segment its customers based on their shopping habits. They collect data on purchase history, browsing behavior, and demographic information, but they don't know which groups are most relevant. Unsupervised learning algorithms, like clustering, can help identify patterns in this data, such as grouping customers who tend to buy similar products or have similar browsing patterns. This allows the company to target specific groups with tailored marketing campaigns, even though they didn't have pre-defined labels for those groups initially.