Sep 26, 2025 · 5 min read · The financial technology (fintech) sector is undergoing a rapid transformation, driven by the power of machine learning (ML). This sophisticated technology isn’t just a buzzword; it’s a powerful tool that’s reshaping how financial services are delive...
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Jul 30, 2025 · 2 min read · I still remember the first time I heard the term Data Science — it felt like falling in love with a whole new world of possibility. But one question kept echoing in my mind: How does a machine actually learn from data? At first, it all seemed like ma...
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Jul 18, 2025 · 6 min read · See how a Certified Machine Learning Expert course helped me build a model that predicts my mood swings using real data, algorithms, and learned skills. Artificial Intelligence (AI) isn't just about robots and sci-fi anymore. It’s a part of our every...
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May 30, 2025 · 8 min read · AI Software Development & Its Transformative Impact Artificial intelligence (AI) has transcended the realm of science fiction, firmly establishing itself as a cornerstone of technological advancement across industries. In 2025 and beyond, the power o...
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May 22, 2025 · 3 min read · Predicting customer churn with machine learning isn’t just a portfolio project — it’s a business-critical use case. In this post, I’ll walk you through how I built a production-grade, end-to-end churn prediction system using Cat-Boost, Stream-lit, Do...
Join discussionOct 29, 2024 · 6 min read · As machine learning (ML) workflows mature, so does the need for efficient, scalable production processes. While Jupyter notebooks have revolutionized the ML development phase, transitioning from experimentation to production presents unique challenge...
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Oct 28, 2024 · 8 min read · Machine Learning (ML) workloads in production require robust, scalable, and maintainable pipelines. Kubeflow provides a comprehensive solution for deploying ML workflows on Kubernetes, enabling data scientists and ML engineers to focus on model devel...
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Oct 23, 2024 · 4 min read · Welcome to Machine Learning! Support vector regression was created in the 90s by Vladimir Vapnik and his team at Bell Labs, which was known as AT&T Bell Labs back then. But for now, we'll focus just on linear regression. Let's get started! SVR Intuit...
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Sep 28, 2024 · 6 min read · This article explains how to adapt Graph Neural Networks (GNNs) for image classification. It covers the process from converting images into graphs to updating the model’s parameters. I explore how message passing and global pooling can enhance spatia...
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Sep 14, 2024 · 7 min read · Introduction In today’s digital age, the web is a massive repository of data. However, extracting meaningful and structured data from the web is a challenge due to the diversity of websites, unstructured content, and the constantly evolving web lands...
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