ML2025

Day 10 – Introduction to Deep Learning for ML Engineers

Introduction In 2025, deep learning has become a cornerstone of machine learning, powering AI systems in vision, speech, natural language, and autonomous systems. Unlike traditional ML, deep learning can automatically extract features from raw data, making it ideal for complex datasets. curiositytech.in (Nagpur, Wardha Road, Gajanan Nagar), we emphasize that deep learning is not just […]

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Day 6 – Supervised Learning: Regression & Classification Explained

Introduction In 2025, supervised learning remains the foundation of machine learning, forming the core of tasks like sales prediction, spam detection, and medical diagnosis. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), beginners often ask: “How do regression and classification differ? Which one should I use for my ML project?” This blog answers these questions in

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Day 25 – Career Roadmap: Becoming a Machine Learning Engineer

Introduction Machine Learning (ML) engineering in 2025 is one of the fastest-growing and most in-demand careers. A successful ML engineer not only understands algorithms but also knows how to deploy, scale, and monitor models in production. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), learners receive guidance on stepwise career planning, building essential skills, and creating

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Day 3 – Essential Skills Every Data Scientist Must Have

Preface Data Science is not a buzzword anymore—it’s a career path shaping industries. But here’s a truth that CuriosityTech.in mentors in Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar) emphasize with every learner: not every skill is equally important. Some skills are foundational, some are specialized, and others are accelerators that help you

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Day 3 – Python for Machine Learning: Pandas, NumPy & Matplotlib Basics

Introduction Every aspiring Machine Learning Engineer in 2025 needs to master three Python libraries before diving deep into algorithms: At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we never let students start ML without these foundations, because they’re the backbone of every project—whether you’re building a recommender system, NLP pipeline, or computer vision application. This blog

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