Today I started Week 3 of the Machine Learning Specialization and learned about Classification.
Until now, most of my learning focused on regression, where models predict numerical values. Today I discovered that many real-world problems involve predicting categories instead.
Some examples include:
- Detecting spam emails
- Predicting whether a customer will leave or stay
- Identifying whether a tumor is malignant or benign
I also learned about Logistic Regression. Despite its name, it is used for classification tasks. The model predicts probabilities that help determine which class an example belongs to.
Another important concept was the Decision Boundary, which is used to separate different classes based on predicted probabilities.
To reinforce my understanding, I completed the graded assignment for this section.
This week feels like an important step because classification is widely used in real-world machine learning applications.
🚀 Looking forward to learning more about classification models and improving my understanding of machine learning.
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