NumPy Python Tutorial for Machine Learning - Part 1

NumPy Python Tutorial for Beginners. This video covers all the important things you can do with NumPy library in Python. It is designed for complete beginners and it goes in-depth on how to use python as a beginner and how the NumPy functions work. This tutorial is geared towards data analysts and data scientists. It is the first tutorial for the whole Data Science journey I will be doing.

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Tutorial Overview:¶
Video 1¶
1. Printing / Running cells
2. Importing / installing packages
3. NumPy Arrays
4. Creating Arrays
• Manually
• Set/standard Matrix Types
• From a List
• Appending an Existing Array

Video 2¶
1. Array Indexing
2. Array DataTypes
3. Array Maths
4. Array Mathematical Functions
5. Reshape
6. Transpose
7. Broadcasting

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NumPy Python Tutorial for Machine Learning

[YiannisPi]

How did you find this tutorial? Please let me know what you think in the comments bellow!

[raunakmaitra]

Thank You very much, most helpful for students

[JeffersonCanedo]

Thanks brother
Your videos are straight to the point and awesome

[emperorriptide]

Would love to see some more intro into Python videos. Like, using variables and creating for loops ( for x in a...) to do something multiple times. So in your example here where you changed a number in your array, creating a loop to replace them all, or for each result in a column, do something like a math equation.

[Addission]

This was great thank you. I had absolutely no knowledge of python and numpy but I was mostly able to follow your tutorial. I also really like how you begin from scratch and explained the basics. A thousand thanks