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Learning the stock market structure with Python and the scikit-learn

At the scikit-learn sprint

At the scikit-learn sprint

At the scikit-learn sprint

At the scikit-learn sprint

ABOUT THE BOOK

Authors: by Aurélien Géron

Publisher: O'Reilly Media; 3rd edition (November 8, 2022)

Format: PDF

Paperback: 861 pages

Language: English

ISBN-13: 978-1098125974

ISBN-10: 1098125975

Download Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition [PDF]

 

Python has become the de facto programming language of data scientists and data analysts. It’s concise, easy to learn and data friendly, making it ideal for data analysis. We will start with a crash course on Python before getting into Python Machine Learning. We will also look at Python Machine Learning libraries like NumPy, Pandas, and SciKit-Learn that are needed to perform Python Machine Learning.

 

Each lecture has detailed and live explanations from the instructor and assignments to test your level of understanding. Once you finish this course you would have taken a giant leap towards the future of data analysis.

 

For more details please visit our website:https://www.mcal.in/page/data-analytics-and-machine-learning/

At the scikit-learn guesthouse

After the scikit-learn sprint

At the scikit-learn sprint

At the scikit-learn guesthouse

After the scikit-learn sprint

After the scikit-learn sprint

At the scikit-learn guesthouse

After scikit-learn sprint

At the scikit-learn guesthouse

Talisker, scikit-learn and highland park

At the scikit-learn guesthouse

After the scikit-learn sprint

At the scikit-learn sprint

At the scikit-learn sprint

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