Deploying Machine Learning (ML) models on the cloud goes beyond writing code—it’s about building scalable, production-ready solutions. In this Masterclass, we’ll guide you step by step on how to build, evaluate, and visualize a Decision Tree model using Python and Scikit-learn, applied to a real-world healthcare use case: Sleep Disorder Detection.
✅ What You’ll Learn: 1️⃣ Decision Tree basics – entropy, information gain, and splits 2️⃣ Building the model in Python with Scikit-learn 3️⃣ Evaluating results with accuracy, precision, recall & F1-score 4️⃣ Visualizing the Decision Tree for deeper insights 5️⃣ Why deploying ML models on cloud makes them scalable & impactful
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🔹 Postgraduate Program in Data Science and Analytics (PGA) – 6 months | For graduates & early professionals | 100% job assurance | 25+ projects | ₹22.5 LPA highest package 👉 Learn more: https://bit.ly/3Ff5Esb
🔹 Executive Postgraduate Program in Data Science & AI (EPGP-DSAI) – 11 months | For working professionals | 35+ projects | 10,000+ career transitions | Avg. 52% salary hike
📌 Don’t just learn ML—deploy it in the cloud and make an impact.
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