Day 20 Dev

problem-of-the-day/day20/dev.md

@@ -0,0 +1,26 @@
+# Dev Problem of the Day
+### Feature Engineering
+
+For data analytics roles, companies often conduct assignment or competition-style rounds before the interview. They expect you to have a solid understanding of feature engineering and data visualization. So today, we are going to cover feature engineering.
+
+#### Resource
+
+[Kaggle: Feature Engineering](https://www.kaggle.com/learn/feature-engineering)  
+This course is designed to help you create better features, which are crucial for improving your models.
+
+#### Tips
+
+- **Understand the Basics:** Learn the steps and principles of creating better features, which form the foundation of feature engineering.
+- **Mutual Information:** Identify features with the most potential to impact your model positively.
+- **Creating Features:** Use Pandas to transform features, making them more suitable for your model.
+- **Clustering With K-Means:** Uncover complex relationships by using cluster labels.
+- **Principal Component Analysis (PCA):** Discover new features by analyzing variations in your data.
+- **Target Encoding:** Enhance categorical features using this powerful technique to boost model performance.
+
+#### Bonus Tasks
+
+After completing the course, you may try to implement feature engineering for the following assignment:  
+[Kaggle: House Prices - Advanced Regression Techniques](https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview)  
+You may see other people's submissions to further strengthen your understanding.
+
+Happy learning!