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NumPy is an amazing scientific computing library that is used by numerous other Python Data Science libraries. NumPy contains many mathematical, array and string functions that are extremely useful. Along with all the basic math functions you'll also find them for Linear Algebra, Statistics, Simulation, etc.
I cover most everything you'll learn by reading the API here. Next I'll cover SciPy, Pandas, StatsModels, MatPlotLib, Seaborn, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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Install for MacOS : https://youtu.be/2JeoNlCcLOM
Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
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The most in demand skills in the world right now are in Data Science & Machine Learning! I will teach you everything imaginable about Data Science & Machine Learning including all the math, libraries, algorithms so that rather then playing with it on an elementary level you will Master it! The journey will be hard, but those willing to put in the time and brain power will be rewarded in the end.
Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in.
TABLE OF CONTENTS
00:00 Intro
01:04 Creating Arrays
05:37 Data Types
07:10 Slicing & Indexing
12:49 Reshaping Arrays
14:23 Stacking & Splitting
18:36 Copying Arrays
20:55 Universal Math
29:43 Reading From Files
32:50 Statistics Functions
36:51 Creating Formulas
40:50 Trigonometry Functions
43:23 Linear Algebra
57:37 Saving & Loading NumPy Objects
59:25 Loading Libraries in Anaconda
1:00:13 Financial Functions
1:07:15 Comparison Functions
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Question
You're better than my university professors Derek!
Thanks for taking lot of efforts and sharing knowledge ☺️
31:23 I've got a problem here. The comand returns error " 'DataFrame' object has no attribute 'to_numpy' ". What should I do?
Actually, how come derek writes only the name of the file without its path?
Awesome thumbnail Derek.❤️ Great content as always. I plan to follow this from now on starting from probability tut.
I'm so happy you cover ML/Python topics now, this will be very helpful for my bachelor thesis. 😊
This was an amazing tutorial for Numpy library,I am really thankful to you,I learnt lots of things.Thanks for teaching.This is the actual best course about Numpy.
This is exciting! Thank you for this