Python for Machine Learning | Comprehensive Tutorial for Beginners

Published: 15 September 2021
on channel: Acadaimy

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Ever wanted to create your own Machine Learning model? Well, this is absolutely the best destination!

In this video, you’ll learn all about the four Python libraries that are at the core of ML models – Numpy, Pandas, Matplotlib, and Seaborn. This video will walk you through the very basics of each of them as well as how to code using these four Python libraries. Be sure to install the libraries and packages that I’ve linked through below!

Python Download Instructions: https://www.python.org/downloads/
Numpy Installation Instructions: https://numpy.org/install/
Pandas Installation Instructions: https://pandas.pydata.org/pandas-docs...
Matplotlib Installation Instructions: https://matplotlib.org/3.3.3/users/in...
Seaborn Installation Instructions: https://seaborn.pydata.org/installing...
Anaconda Installation Instructions (Jupyter comes along with this): https://docs.anaconda.com/anaconda/in...

This video is a comprehensive collection of the following topics in order:

[00:00:00] Python for Machine Learning – An Introduction
[00:03:33] Numpy Python Tutorial for Machine Learning
[00:13:25] Numpy Python Tutorial – Numpy Indexing and Slicing – Numpy Broadcasting
[00:19:06] Numpy Operations
[00:23:57] Pandas Series and Dataframes: indexing, Selection, Booleans
[00:38:11] Pandas Grouping Mechanisms – Concatenating, Merging, Joining, Groupby
[00:55:41] Pandas Operations – Columns, Rows, Math – Dataframes
[01:02:35]Matplotlib Plot and Creating Plots
[01:12:06] Customizing Plots Using Matplotlib
[01:20:27] Seaborn Regression Plots
[01:25:20] Seaborn Categorization Plots – How to Plot Categorical Data in Seaborn – Data Visualization
[01:32:00] Seaborn Distribution Plots
[01:35:39] Seaborn Heatmap

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