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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
This project investigates the factors contributing to the success of indie games on Steam by leveraging game metadata, player engagement metrics, and machine learning techniques. A tuned Random Forest ...
Systematic options trading helps traders harness volatility using data, probability, and disciplined risk management.
A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...
Abstract: Open-science collaboration using Jupyter Notebooks may expose expensively trained AI models, high-performance computing resources, and training data to security vulnerabilities, such as ...
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