Intro to Machine Learning with Python 4: Train a Logistic Regression Model

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In this short course, I walk you through an introduction to data science and machine learning in Python using the classic Iris Dataset. You'll learn through doing, all in a single Jupyter Notebook.

In this video, you'll learn:

- What logistic regression is.
- How to use scikit-learn to train and evaluate a logistic regression model.
- Why we might create a "validation set" to evaluate our model on.
- What overfitting is, and how overfitting can show up as a very high training accuracy.

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Project Data Science—Learn Through Doing
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Great explanation!!! Really helped, thanks.

ThePapadelli
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12:53 i got 1.0 is that fine ? sorry for my english gramal i speak spanish

leonardoplus
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Can we use cross_val_score library from sklearn.model_selection ?

ManojKumar-ihff
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why is my manual model accuracy at 96 and logistic regression accuracy at 85 T-T

pinky_akka
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