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These datasets can then be used in python outside the library, as they are pandas DataFrame objects. It is possible to save the datasets as a CSV file with the pandas function my ... In this example, ...
Dot Physics on MSN15h
Python Physics; Building a Linear Regression Function in VPythonPhysics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
Deep Learning with Yacine on MSN5d
20 Activation Functions in Python for Deep Neural Networks | ELU, ReLU, Leaky ReLU, Sigmoid, CosineExplore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...
Abstract: The natural exponential function appears in a broad range of conventional and emerging applications, including the activation functions used in deep learning applications. This article ...
The main aspects of this certificate are: Universal programming concepts such as data types, containers, conditions, loops, and functions Python programming language syntax and semantics Developing ...
• Implemented Stock Span algorithm and Exponential Moving Average (EMA) on 180-day BTC-USD data to analyze market momentum. • Built a Segment Tree for fast range queries to identify support and ...
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