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Learning Path: Python: Machine and Deep Learning with Python

Learning Path: Python: Machine and Deep Learning with Python.rar

Learning Path: Python: Machine and Deep Learning with Python
Python: Machine and Deep Learning with Python by Ankita Thakur - Curator
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 12 Hours | 2.94 GB
Genre: eLearning | Language: English

Do you want to explore the various arenas of machine learning and deep learning by creating insightful and interesting projects? If yes, then this Learning Path is ideal for you!

Machine learning and deep learning gives you unimaginably powerful insights into data. Both of these fields are increasingly pervasive in the modern data-driven world.

This Learning Path begins with covering the basics-to-advanced-level concepts of Python. Then, youll explore a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, youll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. Youll also learn a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. There are six different independent projects that will help you master machine learning in Python. Finally, youll learn to build intelligent systems using deep learning with Python.

By the end of this Learning Path, you should be able to build your own machine learning and deep learning models.

Resources: Code downloads and errata:
Mastering Python - Second Edition
Python Machine Learning Solutions
Python Machine Learning Projects
Deep Learning with Python

This path navigates across the following products (in sequential order):
Mastering Python - Second Edition (5h 21m)
Python Machine Learning Solutions (4h 27m)
Python Machine Learning Projects (2h 56m)
Deep Learning with Python (1h 45m)


Learning Path: Python: Machine and Deep Learning with Python

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