Context Summary: I flipped the last two lines by mistake: X = np.array(df.drop(['label'],1)) X ... We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants.

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We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. I flipped the last two lines by mistake: X = np.array(df.drop(['label'],1)) X ...

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  • I flipped the last two lines by mistake: X = np.array(df.drop(['label'],1)) X ...
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Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
Regression Training and Testing   Practical Machine Learning Tutorial with Python p 4
Regression Intro - Practical Machine Learning Tutorial with Python p.2
Practical Machine Learning Tutorial with Python | Linear regression in python
Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
Why Linear regression for Machine Learning?
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
Practical Machine Learning Tutorial with Python Intro p.1
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Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4

Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4

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Regression Training and Testing   Practical Machine Learning Tutorial with Python p 4

Regression Training and Testing Practical Machine Learning Tutorial with Python p 4

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Regression Intro - Practical Machine Learning Tutorial with Python p.2

Regression Intro - Practical Machine Learning Tutorial with Python p.2

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Practical Machine Learning Tutorial with Python | Linear regression in python

Practical Machine Learning Tutorial with Python | Linear regression in python

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Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3

Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3

We'll be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. We will talk more on ...

Regression How it Works - Practical Machine Learning Tutorial with Python p.7

Regression How it Works - Practical Machine Learning Tutorial with Python p.7

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Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6

Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6

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Why Linear regression for Machine Learning?

Why Linear regression for Machine Learning?

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Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5

Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5

In this video, make sure you define the X's like so. I flipped the last two lines by mistake: X = np.array(df.drop(['label'],1)) X ...

Practical Machine Learning Tutorial with Python Intro p.1

Practical Machine Learning Tutorial with Python Intro p.1

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