Machine Learning

Day 20 – Case Study: Recommender Systems with ML

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Introduction Recommender systems are at the core of modern digital experiences, from e-commerce platforms to streaming services. In 2025, ML engineers must understand both the theory and practical deployment of recommendation algorithms. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), learners engage in hands-on case studies to build real-world recommender systems that are scalable, interpretable, and […]

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Day 16 – Deploying ML Models with Flask & FastAPI

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Introduction Building and training machine learning models is only part of the journey. Deploying ML models to production enables real-world applications such as recommendation systems, spam detection, and predictive analytics. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we emphasize hands-on deployment training. By integrating Flask and FastAPI, ML engineers can serve models as APIs, making

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Day 11 – Neural Networks Basics Explained

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Introduction Neural networks are the foundation of deep learning, and mastering their basics is mandatory for every ML engineer in 2025. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we emphasize not just theory, but stepwise understanding of how neurons compute, propagate, and learn. Think of a neural network as a mathematical brain, where each neuron

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Day 5 – Data Preprocessing: Cleaning, Scaling & Encoding Data

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Introduction In 2025, data preprocessing has become one of the most critical skills for a Machine Learning Engineer. Raw data from real-world sources—like customer transactions, sensor logs, or social media—is messy, incomplete, and inconsistent. Without proper preprocessing, even the most advanced ML algorithms fail. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we emphasize that 70%

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Day 21 – Reinforcement Learning for Beginners

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Introduction Reinforcement Learning (RL) is one of the most exciting areas of Machine Learning in 2025, powering applications from autonomous vehicles to game AI and robotics. Unlike supervised learning, RL focuses on learning by interaction—an agent learns what actions to take to maximize cumulative rewards in an environment. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar),

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Day 17 – ML in Production: Monitoring & Scaling Models

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Introduction Training and deploying ML models is only half the journey. In 2025, ML engineers must ensure that models continue to perform reliably in production. This involves monitoring performance, detecting anomalies, and scaling models to handle real-world loads. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we train learners to understand production-grade ML pipelines, emphasizing monitoring,

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