Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.66 GB | Duration: 5h 15m
Learn Python NumPy for Data Science, Deep and Machine Learning. Learn to Create Complex Arrays to Excel in Deep Learning

What you'll learn
Go from absolute beginner to become a confident Python NumPy user
Dare to get the most out of Python NumPy
Go deeper to understand complex topics in Python NumPy
Learn Python NumPy through several exercises and solutions
Acquire the required Python NumPy knowledge you need to excel in Data Science, Machine Learning, Ai and Deep Learning

Description
NumPy is a leading scientific computing library in Python. Whether you are trying to go into Data Science, dive into machine learning, or deep learning, NumPy is one of the top Modules in Python you should understand to make the journey smooth for you. In this course, we are going to start from the basics of Python NumPy to the advanced NumPy. This course will give you a solid understanding of NumPy and its functions.

At the end of the course, you should be able to write complex arrays for real-life projects.

WHO IS THIS COURSE FOR?

+ This course is for you if you want to learn NumPy for the first time or get a deeper knowledge of NumPy to increase your productivity with deep and Machine learning.

+ This course is for you if you are coming from other programming languages and want to learn Python NumPy fast and know it really well.

+ This course is for you if you are tired of NumPy courses that are too brief, too simple, or too complicated.

+ This course is for you if you want to build real-world applications using NumPy.

+ This course is for you if you have to get the prerequisite knowledge to understanding Data Science and Machine Learning using NumPy.

+ This course is for you if you want to master the in-and-out of NumPy.

+ This course is for you if you want to learn NumPy by doing exciting real-life challenges that will distinguish you from the crowd.

+ This course is for you if plan to pass an interview soon.

Screenshots

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