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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

The first version was launched in April 1999, and the second edition was released in December 2003. Data collection, exploration, cleaning, munging, and manipulation 9. Study the Scikit-Learn, Pandas, Matplotlib, and NumPy libraries, which are the key four Python data science libraries. This book is rated 3.99

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Emerging Trends in Big Data Analysis for 2023

ProjectPro

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments. Deep learning involves ingesting big data to neural networks to receive predictions in response.