Deploying ML on Cloud isn’t just about writing models, it’s about setting up the right environment. 🚀
In this Masterclass, learn how to seamlessly link your Conda Environment with Jupyter Notebook using an IPython kernel. Perfect for Data Science & ML projects where reproducibility and clean workflows matter.
🔑 What you’ll learn: 1️⃣ Why Conda + Jupyter integration is essential 2️⃣ Step-by-step process using ipykernel 3️⃣ How to select Conda as your Jupyter kernel
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📍 Postgraduate Program in Data Science & Analytics (6 months | 100% job assurance) 📍 Executive PG Program in Data Science & AI (11 months | for working professionals)
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