Hello Everyone !!
Thanks for continuing with this post.
In the last post, we discussed about the use of Logistic Regression using Gradient Descend.
In this post, we will start writing the code for logistic Regression using Scikit-Learn. So, let's get started.
You can find the Python code file and the IPython notebook for this tutorial here.
Logistic Regression using Scikit-Learn
Now that we have covered the basics of Logistic Regression, I think its now time to write our third Machine Learning Algorithm in Code, i.e. K-Nearest Neighbors.
Great work on completing this tutorial, let's move to the next tutorial in series, Introduction to Machine Learning: Naive Bayes
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Please feel free to leave any comments, suggestions, corrections if any, below.
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