Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
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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.
GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
Top VPNs give out steep discounts on their long-term plans — see where you can save the most. Save on everything from affordable streaming devices to high-end tablets, TVs, wireless headphones and ...
This is a python implementation of a power-law distribution fitter. The code here was originally hosted on agpy but was moved and re-packaged to make setup.py cleaner. Aaron Clauset et al. address the ...
Abstract: Digital substations, which replace traditional analog infrastructure, are essential to power grid operation but are facing growing vulnerability to cyber attacks. Existing anomaly detection ...
Abstract: As power systems experience higher integration of distributed generation units, it becomes essential to model the network in detail across all voltage levels. Consequently, detailed ...
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