{"id":11332,"date":"2026-08-10T10:30:49","date_gmt":"2026-08-10T10:30:49","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-tensorflow-deep-learning-data-science-in-python-2022-9\/"},"modified":"2026-08-10T10:30:49","modified_gmt":"2026-08-10T10:30:49","slug":"udemy-tensorflow-deep-learning-data-science-in-python-2022-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-tensorflow-deep-learning-data-science-in-python-2022-9\/","title":{"rendered":"Udemy \u2013 Tensorflow Deep Learning \u2013 Data Science in Python 2022-9"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Tensorflow Deep Learning \u2013 Data Science in Python. This course is a comprehensive 7-hour bootcamp on data science with Tensorflow in Python that teaches participants how to implement statistical modeling, data visualization, machine learning, and deep learning using the framework. The course covers all practical aspects of data science with Tensorflow and reduces the need for other resources. In the era of big data, mastering Python and Tensorflow will help you gain a competitive advantage by analyzing real data. Course instructor Minerva Singh, a graduate of Oxford and Cambridge universities with extensive experience in real data analysis, designed this course to fill the gap in traditional data science training. The course consists of 8 sections, starting with the basics of installing Tensorflow and working with libraries like Pandas and Numpy, and continuing on to statistical modeling, machine learning, and building advanced neural networks like CNN. This course emphasizes practical application of concepts with real data and helps you hone your skills in practical projects. After completing the course, you will be able to use data science tools to analyze real data and interpret the results, even if you have no prior background in Python or statistics.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n