In this step-by-step tutorial, you’ll get started with linear regression in Python. Linear regression is one of the fundamental statistical and machine learning techniques, and Python is a popular choice for machine learning.

We’re living in the era of large amounts of data, powerful computers, and artificial intelligence. This is just the beginning. Data science and machine learning are driving image recognition, autonomous vehicles development, decisions in the financial and energy sectors, advances in medicine, the rise of social networks, and more. Linear regression is an important part of this.

Linear regression is one of the fundamental statistical and machine learning techniques. Whether you want to do statistics, machine learning, or scientific computing, there are good chances that you’ll need it. It’s advisable to learn it first and then proceed towards more complex methods.

By the end of this article, you’ll have learned:

• What linear regression is
• What linear regression is used for
• How linear regression works
• How to implement linear regression in Python, step by step

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