Machine Learning

Day 4 – Introduction to Scikit-Learn: Building ML Models

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Introduction By 2025, Scikit-Learn has solidified its place as the gateway library for machine learning in Python. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we guide learners to use Scikit-Learn as a hands-on laboratory for building, evaluating, and understanding ML models before they transition to deep learning or deployment. Scikit-Learn is versatile, beginner-friendly, and widely […]

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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. AtCuriosityTech.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, while

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Day 7 – Unsupervised Learning: Clustering & Dimensionality Reduction

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Introduction While supervised learning deals with labeled data, the real world is full of unlabeled, complex datasets. In 2025, unsupervised learning has become critical for uncovering hidden patterns in data that are not immediately obvious. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), we guide students to understand clustering and dimensionality reduction—the backbone of exploratory data

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Day 26 – Interview Questions & Answers for ML Engineer Jobs

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Introduction Landing a Machine Learning Engineer role in 2025 requires more than just theoretical knowledge. Interviews now evaluate practical problem-solving, coding skills, domain understanding, and real-world experience. At CuriosityTech.in (Nagpur, Wardha Road, Gajanan Nagar), learners get scenario-based interview preparation, mock interviews, and guidance on tackling complex ML problems effectively. 1. Core Interview Areas ML interviews

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

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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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