Numpy Basics For Machine Learning

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 5 lectures (1 hour, 33 mins) | Size: 354 MB

Learn the basics of scientific computing package used by many Data Scientists.

What you'll learn

Basics of Numpy and linear algebra
Python for data science
Better prepared for learning machine learning
Practice on Jupyter notebook or Google colab

Requirements

Some programming experience
A zeal to learn

Description

If you are looking to become a data scientist, it is essential to learn linear algebra and what better way to learn it than by using Numpy as Python package that is so powerful that it was used to build sklearn(most popular machine learning package). Kick -start your data science career with the essentials of Numpy for strong foundation for understanding machine learning algorithms from a coding perspective. We will cover basics of Numpy like arrays, vectors, matrix operations and also have a use case in calculating Euclidean distance.

Who this course is for:

Beginner Data Science
Python programmers
Any programmers interested in machine learning
Screenshots

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