ING Hubs Romania’s Post

In the data science world, severely imbalanced datasets can be a formidable challenge. But what if we told you there's a way to turn the tide? Introducing the latest article on our blog on Medium: 𝐒𝐞𝐯𝐞𝐫𝐞𝐥𝐲 𝐢𝐦𝐛𝐚𝐥𝐚𝐧𝐜𝐞𝐝 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬, 𝐩𝐚𝐫𝐭 𝐈𝐈: 𝐒𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐝𝐚𝐭𝐚 𝐛𝐨𝐨𝐠𝐚𝐥𝐨𝐨. 🔗👇🏻 In this piece, our data scientist, Mihai Boldeanu, dives deep into the realm of synthetic data, exploring how it can be a game-changer for tackling imbalanced datasets. By generating artificial data that mirrors real-world scenarios, you can enhance model training and improve predictive accuracy. 📊 So, 𝐢𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐚 𝐟𝐫𝐚𝐮𝐝 𝐚𝐧𝐚𝐥𝐲𝐬𝐭, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐚 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐞𝐧𝐭𝐡𝐮𝐬𝐢𝐚𝐬𝐭, or just someone who enjoys watching models struggle with severely imbalanced data, don't miss out on this insightful read! 👀 This is where things get interesting. Stay tuned for part III, where Mihai will explore anomaly detection and unsupervised learning techniques to complement synthetic oversampling.