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Linear Regression in Python | Databytes | Machine Learning in Python

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This tutorial will walk you through the process of performing a linear regression in Python for supervised machine learning. The topics covered in this video will be:
00:00 - 01:01 When to use linear regression
01:02 - 01:40 Which packages to use for linear regression
01:41 - 03:43 Case study: predicting brain weights
03:44 - 04:26 Handling categorical variables
04:27 - 05:11 Splitting response and explanatory columns
05:12 - 05:56 Creating training and testing sets
05:57 - 06:41 Fitting the model to the training set
06:42 - 11:09 Making predictions using the model
11:10 - 13:44 Checking model fit
13:45 - 14:47 Next steps
[Try it yourself!]
[More about Python]
Python is the most popular programming language today and is widely used across verticals from software and web development, game development, data science, machine learning, and more. Learning Python is imperative for aspiring data scientists, data analysts, data engineers, and machine learning scientists.
To learn more about Python, check out the following resources:
Interesting Reads:
00:00 - 01:01 When to use linear regression
01:02 - 01:40 Which packages to use for linear regression
01:41 - 03:43 Case study: predicting brain weights
03:44 - 04:26 Handling categorical variables
04:27 - 05:11 Splitting response and explanatory columns
05:12 - 05:56 Creating training and testing sets
05:57 - 06:41 Fitting the model to the training set
06:42 - 11:09 Making predictions using the model
11:10 - 13:44 Checking model fit
13:45 - 14:47 Next steps
[Try it yourself!]
[More about Python]
Python is the most popular programming language today and is widely used across verticals from software and web development, game development, data science, machine learning, and more. Learning Python is imperative for aspiring data scientists, data analysts, data engineers, and machine learning scientists.
To learn more about Python, check out the following resources:
Interesting Reads:
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