- Morning:
- Comparative Analysis:
- Compare the performance of logistic regression, decision trees, and KNN on various datasets using the metrics learned.
- Comparative Analysis:
- Afternoon:
- Next Steps:
- Understand the limitations and assumptions of the explored algorithms.
- Identify when to use each algorithm based on the dataset characteristics.
- Next Steps:
- Evening:
- Summarize and Reflect:
- Summarize the learnings from Days 11-15.
- Reflect on the challenges faced, new insights gained, and plan for further exploration in advanced machine learning.
- Summarize and Reflect:
Files
Day-15
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