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Basic Mathematics
Learn the essential mathematics concepts required for Machine Learning, including linear algebra, probability, and statistics.
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Machine Learning
Learn the fundamentals of Machine Learning, including supervised and unsupervised learning, algorithms, and real-world applications.
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Deep Learning
Master the core concepts of Deep Learning, including neural networks, CNNs, RNNs, and practical applications.
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NLP
Master the core concepts of Natural Language Processing, including text analysis, sentiment analysis, machine translation, and practical applications.
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Python and PySpark Compiler
Learn how to write and execute Python and PySpark code efficiently, and stay updated with the latest Spark ecosystem features.
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