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.<br /><br />✅ What You’ll Learn:<br />1️⃣ Decision Tree basics – entropy, information gain, and splits<br />2️⃣ Building the model in Python with Scikit-learn<br />3️⃣ Evaluating results with accuracy, precision, recall & F1-score<br />4️⃣ Visualizing the Decision Tree for deeper insights<br />5️⃣ Why deploying ML models on cloud makes them scalable & impactful<br /><br />🚀 Accelerate Your Career in Data Science<br />Imarticus Learning offers two career-transforming programs:<br /><br />🔹 Postgraduate Program in Data Science and Analytics (PGA) – 6 months | For graduates & early professionals | 100% job assurance | 25+ projects | ₹22.5 LPA highest package<br />👉 Learn more: https://bit.ly/3Ff5Esb<br /><br />🔹 Executive Postgraduate Program in Data Science & AI (EPGP-DSAI) – 11 months | For working professionals | 35+ projects | 10,000+ career transitions | Avg. 52% salary hike<br /><br />📌 Don’t just learn ML—deploy it in the cloud and make an impact.
