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KDnuggets™ News 20:n26, Jul 8: Speed up Your Numpy and Pandas; A Layman’s Guide to Data Science; Getting Started with TensorFlow 2


Speed up your Numpy and Pandas with NumExpr Package; A Layman's Guide to Data Science. Part 3: Data Science Workflow; Getting Started with TensorFlow 2; Feature Engineering in SQL and Python: A Hybrid Approach; Deploy Machine Learning Pipeline on AWS Fargate



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This week: We show how to significantly speed up your mathematical calculations in Numpy and Pandas using a small library; Learn and appreciate the typical workflow for a data science project, including data preparation, analysis, reflection, and communication of the results; Learn about the latest version of TensorFlow with a hands-on walk-through of implementing a classification problem with deep learning; See a hybrid approach to feature engineering in SQL and Python; Read a step-by-step beginner's guide to containerize and deploy ML pipeline serverless on AWS Fargate.

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A Layman’s Guide to Data Science. Part 3: Data Science Workflow
From A Layman’s Guide to Data Science. Part 3: Data Science Workflow

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