Today I completed Week 2 of the Machine Learning Specialization by DeepLearning.AI and successfully finished the programming assignment with a score of 100/100.
This week expanded my understanding of linear regression and introduced several important concepts, including:
- Multiple Linear Regression
- Vectorization
- Gradient Descent
- Feature Scaling
- Learning Rate Selection
- Feature Engineering
- Polynomial Regression
One of the most valuable lessons was understanding why feature scaling is important. I learned that when features have very different ranges, gradient descent can take much longer to converge. Scaling features helps the optimization process become more efficient.
I also enjoyed learning about polynomial regression, which showed me how linear regression can be extended to model more complex relationships in data.
While some concepts were challenging at first, completing the programming assignment helped reinforce my understanding and gave me more confidence moving forward.
Next step: Starting Week 3 and continuing to build a stronger foundation in Machine Learning.
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