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Powerful Data Science Frameworks

Data science frameworks are known to be the heart of the data analysis process. Learn top frameworks, advantages, and things to consider for right choosing framework.

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Powerful Data Science Frameworks

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  1. POWERFUL DATA SCIENCE FRAMEWORKS © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® Data Science is revolutionizing industries, and powerful frameworks are at the heart of this transformation. DATA SCIENCE FRAMEWORK? WHAT IS A Data Science framework is a collection of tools and libraries designed to streamline the data science process. © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® FACILITATE THEY EASY Data Feature engineering Model Model deployment tasks processing development © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® DATA SCIENCE FRAMEWORK IMPORTANT WHAT ARE Data Science Professionals get several advantages from using Data Science frameworks. Discover hide trends and patterns in complex data Save precious time Improve communication and collaboration © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® TOP DATA SCEINCE FRAMEWORKS Some of the most popular and widely used Data Science frameworks are: TensorFlow Open-source machine learning platform developed by Google. Can handle tasks like image and speech recognition and natural language processing. Can be developed across several platforms such as mobile devices and large-scale clusters PyTorch It is best known for its flexibility and ease of use. Can be seamlessly integrated with Python’s ecosystem Comes with a strong and huge community of developers Scikit-learn Another highly popular machine-learning library for Python Consists of simple and intuitive API Has a wide range of algorithms for classification, regression, clustering, and more. Pandas It is a data analysis and manipulation tool for Python Provides efficient data structures like DataFrames and Series Can be easily integrated with Matplotlib, seaborn, and other visualization libraries. Keras Keras offers a high-level neural network API to be used along with TensorFlow Has a simple API to build neural networks Assists with rapid prototyping by rapidly building and testing models © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® OTHER POPULAR FRAMEWORK? SOME Spark MLlib Matplotlib NumPy Seaborn Theano © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® CHOOSE THE RIGHT FRAMEWORKS Some important things must be considered while choosing the right framework for your project Identify and understand your use case Check the performance and scalability of the framework See how easy it is to use and assess learning curve Check if it offers community support Evaluate cost and licensing for long-term use © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ® Learning the Data Science frameworks will help you master the Data Science Processes and excel in your Data Science Career. Register for the best Data Science Certifications from and start your learning journey GET CERTIFIED ENROLL NOW © Copyright 2024. United States Data Science Institute (USDSI ). All Rights Reserved. ®

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