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Machine Learning

📘 What is a Classification Model? 📘 What is a Classification Model? A classification model predicts categories or labels. For example:  Email → Spam or Not Spam  Image → Cat or Dog  Patient → Has disease or Not  📊 Key Metrics for Classification Accuracy – How often is the model correct?  Confusion Matrix – Summary of predictions vs actual values.  Precision – How many predicted positives are truly positive?  Recall (Sensitivity) – How many actual positives were identified correctly?  F1 Score – Harmonic mean of precision and recall.  ROC Curve and AUC Score – How well the model separates classes.
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📘 What is a Classification Model?

Aryugyan May 8, 2025 0
A classification model predicts categories or labels. For example: 📊 Key Metrics for Classification ✅ Example: Evaluating...
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What is overfitting and how can you prevent it?
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What is overfitting and how can you prevent it?

Aryugyan May 5, 2025 0
🎯 What is Overfitting? Overfitting happens when a machine learning model learns too much from the training...
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🧠 What is the Bias-Variance Tradeoff? ChatGPT Image May 5, 2025, 04_10_18 PM
  • Skills
  • Machine Learning

🧠 What is the Bias-Variance Tradeoff?

Aryugyan May 5, 2025 0
The bias-variance tradeoff is a key concept in machine learning that helps us understand why models make...
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What is the difference between supervised, unsupervised, and reinforcement learning?
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  • Skills

What is the difference between supervised, unsupervised, and reinforcement learning?

Aryugyan May 5, 2025 0
🧠 1. Supervised Learning 🔍 What it is: In supervised learning, the machine is trained using labeled...
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