Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...
Customer Churn Prediction using Python, Exploratory Data Analysis, Random Forest and XGBoost. - Tejoshkumar/Customer-Churn-Prediction_ML ...
Deep Principle released Hydrogen-1.0, a 753B open-weight scientific model post-trained from GLM-5.3, scoring 38.3% on FrontierScience-Research ...
Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with ...
Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
A pair of high school seniors are diving into the world of AI and machine learning through the Work-Based Learning (WBL) program. Parth Mahajan and Jace Mof ...
Pluto Security tracks a Hugging Face cryptominer campaign using malicious Qwen2 models, Python loaders, reverse shells, and ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
The best AI course for 2027 depends on your goals, with options ranging from business-focused AI fundamentals to hands-on ...
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