MachineLearning2025

Day 12 – Natural Language Processing (NLP) for ML Engineers

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IntroductionIn 2025, Natural Language Processing (NLP) has become a core component of AI applications, from chatbots and sentiment analysis to translation systems and content recommendation engines.At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we train ML engineers to understand not just NLP algorithms but the end-to-end pipeline: from raw text to actionable insights. NLP combines linguistics, […]

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Diagram showing the structure of Azure Resource Groups and Subscriptions. It illustrates how multiple resources—such as virtual machines, storage accounts, and databases—are organized within resource groups, which in turn belong to a single Azure subscription.

Day 8 – Model Evaluation & Cross-Validation Techniques

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Introduction Building a machine learning model is just half the journey. In 2025, evaluating model performance and ensuring its reliability is equally, if not more, important. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we emphasize that even a high-accuracy model can fail in production if it isn’t properly evaluated. This blog dives deep into model

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Day 15 – ML Pipelines & Workflow Automation

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Introduction In 2025, building machine learning models is just one part of the process. ML pipelines and workflow automation ensure that models are reproducible, scalable, and production-ready. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we train ML engineers to understand the complete workflow—from data ingestion to model deployment—while automating repetitive tasks, saving time and reducing

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Day 19 – Feature Stores & MLOps for Machine Learning Engineers

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Introduction In 2025, MLOps (Machine Learning Operations) and Feature Stores have become critical for ML engineers. They ensure that models are reproducible, scalable, and maintainable in production. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we teach learners to integrate MLOps pipelines with Feature Stores, enabling teams to manage, share, and reuse features across multiple projects,

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