Unit 2 | Ep 05: The Final Bridge – Encoding & Validation
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Unit 2 | Ep 05: The Final Bridge – Encoding & Validation
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Welcome to the finale of Unit 2 in Mindforge ML. We are bridging the gap between raw data and a trainable model.
Computers don't understand text, and models cheat if you let them see the answers. In this episode, we cover the final critical steps: translating categories into numbers and rigorously testing your setup to prevent overfitting.
Key topics:
Encoding: One-Hot vs. Label Encoding—translating the world into math.
The Split: Why 80/20 isn't just a random number, and how Stratified Splitting saves classification models.
Cross-Validation: The most robust way to trust your model's score.
Data Leakage: How to avoid the most embarrassing mistake in data science.
Your data is now ready. The modeling begins.
Series: Mindforge ML | Unit 2Produced by: Chatake Innoworks Pvt. Ltd.Initiative: MindforgeAI
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