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Date Registered: 2023-04-13

Website: https://lab.quickbox.io/-/snippets/19582

Bio: Machine Learning Libraries in Python
Python has a vast number of libraries for data manipulation, analysis, and machine learning. Some of the most popular libraries include:

NumPy
NumPy is a library for numerical computation in Python. It provides support for multi-dimensional arrays and matrices, as well as a large collection of mathematical functions for data manipulation.

Pandas
Pandas is a library for data manipulation and analysis in Python. It provides support for data structures like data frames and series, as well as a large collection of functions for data cleaning and transformation.

Scikit-Learn
Scikit-Learn is a library for machine learning in Python. It provides support for a wide range of machine learning algorithms, including regression, classification, clustering, and dimensionality reduction. It also provides tools for model selection and evaluation.

TensorFlow
TensorFlow is a library for numerical computation and machine learning in Python. It provides support for building and training deep learning models, as well as tools for distributed computing.

Keras
Keras is a high-level API for building and training deep learning models in Python. It provides support for building models using a variety of neural network architectures and optimizers.

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