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Pandas is an amazing framework used to work with tabular data, input data from numerous file / database types, clean data, analyze it and visualize it. If you want a video that condenses the whole Pandas API and all that it can do into 1 video with hundreds of examples, then this video is for you.
I cover most everything you'll learn by reading the API here. Next I'll cover MatPlotLib, Seaborn, SciPy, StatsModels, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL
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Pandas GitHub Cheat Sheet : https://github.com/derekbanas/pandas-tutorial
Install for Windows : https://youtu.be/a7Ylbn1ikF0
Install for MacOS : https://youtu.be/2JeoNlCcLOM
Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
NumPy in One Video : https://youtu.be/8Y0qQEh7dJg
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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
01:05 Series
05:55 Creating DataFrames
10:02 Editing / Retrieving Data
18:29 Conditional Selection
24:07 Importing Data from Anywhere
33:00 Basics & Math
41:33 Grouping Data
43:36 Concatenate, Merge & Join Data
46:06 Statistics
51:50 Iteration
53:51 Sorting
55:13 Manipulate Data with Functions
1:03:30 Aligning, Reindexing, Renaming
1:08:33 MultiIndex
1:15:53 Cleaning Data
1:18:34 Real World Examples
1:25:21 Visualization
1:38:14 Installation & Virtual Environments
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