MachineLearning

Day 18 – Cloud Platforms for Data Science: AWS, Azure, GCP

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Introduction In 2025, cloud platforms are essential for modern data science, providing scalable compute power, storage, and advanced AI/ML services. Instead of relying solely on local machines, data scientists leverage AWS, Azure, and GCP to process massive datasets, deploy models, and integrate AI pipelines seamlessly. At curiosity tech, Nagpur (1st Floor, Plot No 81, Wardha […]

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Day 8 – Introduction to Machine Learning for Data Scientists

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Introduction Machine Learning (ML) is the engine behind predictive analytics, AI applications, and data-driven decision-making in 2025. It enables computers to learn from data and make decisions without explicit programming. At CuriosityTech.in, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), we guide learners from understanding basic ML concepts to implementing models on real-world

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Day 15 – Hands-On Project: Predicting House Prices with ML

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Introduction Predicting house prices is one of the classic machine learning projects that allows beginners and intermediate learners to practice end-to-end ML workflows. In 2025, housing market prediction models help real estate companies, investors, and urban planners make data-driven decisions. At Curiosity Tech, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), we teach

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Day 3 – Neural Networks 101: The Building Blocks of Deep Learning

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Introduction Every skyscraper rests on a solid foundation, and in the same way, deep learning rests on neural networks. If you understand neural networks deeply, every other concept—CNNs, RNNs, Transformers—becomes far easier. At Curiosity Tech (Nagpur), where learners build their first AI projects before scaling to industry-level applications, the journey always begins with Neural Networks

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Data Scientist. The left side includes the CuriosityTech logo, a cloud icon, and text comparing Data Scientist vs Data Analyst vs ML Engineer. The right side shows a laptop with a holographic cloud image and a person typing.

Day 2 – Data Scientist vs Data Analyst vs ML Engineer Explained

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When people hear the terms Data Scientist, Data Analyst, and Machine Learning Engineer, they often assume they mean the same role. But in reality, these are distinct professions—each critical in the journey from raw data to business insights and AI-driven products.

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Deep Learning & AI Engineer. The left side includes the CuriosityTech logo, a cloud icon, and text comparing AI Engineer vs Machine Learning Engineer. The right side features a holographic globe with data visualizations and a robotic hand.

Day 2 – AI Engineer vs Machine Learning Engineer_ Key Differences

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As AI careers boom in 2025, two roles dominate conversations: AI Engineer and Machine Learning (ML) Engineer. Both are highly paid, highly in-demand, and deeply interconnected — but they are not the same.

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