Python offers a rich set of libraries that make it a preferred choice for machine learning and AI. TensorFlow and PyTorch are powerful frameworks for building and training deep learning models, while Scikit-learn provides tools for implementing traditional machine learning algorithms. For data manipulation and analysis, Pandas and NumPy are essential. Libraries like Keras simplify neural network development, and Matplotlib and Seaborn are ideal for data visualization. Additionally, OpenCV supports computer vision tasks, and NLTK or SpaCy aid in natural language processing. Learning these libraries through a Python certification course can significantly boost your expertise in the field.
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