@datascibykashi: Today I tested Decision Tree and Random Forest Classifiers using synthetic data, and the results were 🔥 Both models are powerful, but they behave VERY differently! 💡 What I covered in today’s post: 1️⃣ How a Decision Tree learns patterns by splitting data using rules 2️⃣ Why it overfits when the data is noisy 3️⃣ How Random Forest uses multiple trees + averaging to reduce overfitting 4️⃣ Accuracy comparison on synthetic data 5️⃣ Which model performs better AND why 👀 👇 QUESTION OF THE DAY (to get more comments) Which one do you think is better for real-world problems: Decision Tree or Random Forest? And why? Tell me in the comments — I’m replying to everyone! 💬🔥 ✨ Follow me for daily ML content ✨ Ask anything you don’t understand — I will explain it simply #learncoding #machinelearning #AI #DataScience #creatorsearchinsights

Data Scientist | Kashi

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Tuesday 09 December 2025 14:12:10 GMT