Scikit-learn
Frameworks
How to Build Models
Overview of Machine Learning Frameworks
Key Predictive Analytics Tools
How to Create Machine Learning Prototypes
Data Mining Techniques in Natural Language
Key Technologies in Big Data Processing
Basics of Machine Learning 
Scikit-learn A library for Python that provides simple and efficient tools for data mining and data analysis
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Frameworks Python
Scikit-learn A machine learning library for Python that features various classification, regression, and clustering algorithms
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How to Build Models training can be done using various programming languages and libraries, such as: Python with libraries like Pandas,
Scikit-learn, and TensorFlow R for statistical modeling and data analysis 6
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Overview of Machine Learning Frameworks community support, easy debugging Research, computer vision, generative models
Scikit-learn General-purpose Simple and efficient tools for data mining and data analysis Classification, regression, clustering
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Key Predictive Analytics Tools Pandas,
Scikit-learn), ease of integration, and strong community support
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How to Create Machine Learning Prototypes Scikit-learn - A machine learning library for Python that provides simple and efficient tools for data mining and data analysis
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Data Mining Techniques in Natural Language Scikit-learn A machine learning library for Python that includes tools for data mining
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Key Technologies in Big Data Processing Scikit-learn: A machine learning library for Python that features various classification, regression, and clustering algorithms
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Tools for Effective Text Analytics Implementation TensorFlow,
Scikit-learn, Keras 2
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Understanding Machine Learning Basics TensorFlow,
Scikit-learn) for machine learning
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