Data Science & Machine Learning

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  • Data Analysis
    Data analysis techniques and tools: Python libraries like Pandas and NumPy, R packages like dplyr and ggplot2, SQL for database query, and Julia tools for data manipulation. Among these, data manipulation can also be performed in the C# language with the use of libraries such as ML.NET and Accord.NET.
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  • Machine Learning Basics
    An introduction to machine learning concepts, algorithms, and tools.
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  • Deep Learning
    Advanced topics in neural networks and frameworks like TensorFlow and PyTorch.
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