bhavesh barange

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

Introduction In 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 […]

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Day 8 – Simulation Tools: Gazebo & V-REP Explained

Introduction Simulation is a critical step in robotics development. Before deploying robots in the real world, engineers test designs, algorithms, and controls virtually to save time, resources, and avoid damage. Two of the most widely used robotics simulation platforms are Gazebo and V-REP (now called CoppeliaSim). At CuriosityTech.in, learners can explore simulation tutorials that guide

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Day 8 – Natural Language Processing (NLP) with Deep Learning

Introduction Natural Language Processing (NLP) is the bridge between human language and machines. From chatbots to sentiment analysis, NLP powers many modern AI applications. Unlike image data, text is sequential, sparse, and complex, requiring specialized neural network architectures like RNNs, LSTMs, and Transformers. At CuriosityTech.in in Nagpur, beginners start their NLP journey by building end-to-end

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Day 8 – Introduction to Machine Learning for Data Scientists

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 8 – Data Visualization Essentials with Matplotlib & Seaborn

Introduction (Visual Storytelling) In 2025, data without visualization is like a story without illustrations. Decision-makers rarely read tables of numbers—they respond to visual insights. Imagine a retail company in Nagpur: 50,000 transaction rows. A raw table of sales numbers won’t help the CEO spot trends. But a line chart showing sales growth, or a bar

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Day 8 – Model Evaluation & Cross-Validation Techniques

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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