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ML
Day-7 – Decision Tree + Model Comparison
Now we move from basic ML → smarter ML models . 🎯 Goal of Day-7 We will: ✅ Understand Decision Tree ✅ Build a better classification model ✅ Comp…
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AI Engineer
Day-6 – Logistic Regression (Classification – Real-world ML)
Welcome to Day-6 – Logistic Regression (Classification) 🎯 Goal of Day-6 You will: ✅ Understand classification ✅ Build first classification model …
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Microsoft
How to pass AI-900 in 4-Days - Roadmap + Day wise Preparation + Exam Tricks
📌 Exam Reality (Important) ~40–60 questions Mostly scenario-based MCQs Many questions are elimination-based Very few calculations Servi…
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AI Engineer
Day-5 – Machine Learning Model (Linear Regression)
Now we move from “data handling” → “AI prediction” 🚀 🎯 Goal of Day-5 You will: ✅ Understand what ML model is ✅ Build your first prediction model…
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Day-4 – Data Visualization (Matplotlib + Data Insights)
🧠Why Visualization Matters In AI: Raw data → hard to understand Graphs → instant insights Example: Table → boring Chart → story 🚀 Pa…
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AI Engineer
Day-3 – NumPy + Pandas (Real Data Handling Begins)
Welcome to Day-3 – NumPy + Pandas (Real Data Handling Begins) . Today is very important because AI/ML is mostly about data . Think of it like this: …
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