Oct 15, 2025 · 4 min read · In the supervised learning series, we learned how models use labeled data to make predictions where both inputs and outputs are known. But what if we only have raw data, with no labels or outcomes defined? That’s where Unsupervised Learning comes in....
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Aug 12, 2025 · 6 min read · Introduction Machine learning has become a cornerstone of today’s technology landscape. From recommending your next favorite movie to powering self-driving cars, machine learning is changing how we interact with the world. But what exactly is machine...
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Jul 23, 2025 · 5 min read · Machine learning is one of the most exciting technologies shaping our world today. From recommending what to watch next on Netflix to detecting fraud in your bank account, machine learning is everywhere. But to really understand how it works, you nee...
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Jul 13, 2025 · 4 min read · Have you ever noticed how your social media feed is personalized? Or how Google Maps predicts traffic? or when you think to buy something after those big giants start promoting it to us. If you never thought about it, let me clear it up today: there ...
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Jun 2, 2025 · 12 min read · From Netflix recommendations to Autonomous self driving cars, machine learning has lead to countless innovations and applications in our daily life. But behind every machine learning system lies a specific learning approach. Identifying the right ste...
Join discussionMay 10, 2025 · 2 min read · Hey lovelies 🌸 Machine Learning is broadly divided into four categories: Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, and Reinforcement Learning. Let’s break them down in simple terms: 1. Supervised Learning: In supervised l...
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Aug 16, 2024 · 3 min read · Note: This blog isn't intended to be a thorough guide. I'm posting these notes to stay consistent and show my determination as I progress through the 100 Days of ML course. There are 4 major types of ML. Supervised learning (mostly used) When both...
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Aug 8, 2024 · 2 min read · 🏋️♂️ Batch Machine Learning 📊 Data Processing: Processes entire dataset at once. Example: Training a model on a historical dataset of customer purchases at the end of each month. 🔄 Model Update: Model is trained on the entire dataset in one g...
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Aug 6, 2024 · 7 min read · Hello, everyone! Today, I want to dive into the fascinating world of machine learning and explore the various types of machine learning systems. Machine learning can be categorized based on different criteria, and understanding these categories helps...
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