pytorch: An open-source deep learning framework developed by Facebook.It provides a convenient way to define and train deep learning models. keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow.It’s used for various applications like image recognition, natural language processing, and reinforcement learning. tensorflow: An open-source library developed by Google for machine learning and deep learning.It includes algorithms for classification, regression, clustering, and dimensionality reduction. scikit-learn: A popular machine learning library that provides simple and efficient tools for data mining and data analysis.It enables the creation of rich, interactive visualizations with support for various chart types. plotly: An interactive, browser-based graphing library for Python.It provides a high-level interface for drawing attractive and informative statistical graphics. seaborn: A statistical data visualization library based on matplotlib.It’s highly customizable and widely used for creating charts and plots. matplotlib: A 2D plotting library for creating static, interactive, and animated visualizations.It includes modules for optimization, linear algebra, integration, interpolation, and other tasks. scipy: A library for scientific and technical computing.It provides data structures like DataFrame and Series, making it easy to work with structured data. pandas: A powerful library for data manipulation and analysis.It provides support for arrays, matrices, and various mathematical functions.
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