diff --git a/Part 1 - Introduction to Machine Learning with scikit-learn.md b/Part 1 - Introduction to Machine Learning with scikit-learn.md index 480830d..88abc5f 100644 --- a/Part 1 - Introduction to Machine Learning with scikit-learn.md +++ b/Part 1 - Introduction to Machine Learning with scikit-learn.md @@ -133,5 +133,5 @@ Clearly, logistic regression is a far more suitable algorithm for correctly dete ### 📚 Further Reading -For an exhaustive list of the machine learning algorithms scikit-learn has to offer, check out [this page in their documentation] (https://scikit-learn.org/stable/supervised_learning.html). Machine learning algorithms are not one size fits all - different problems require different algorithms. There are many cases where linear regression will outperform logistic regression, for instance, so it's good to understand the various types of machine learning algorithms. +For an exhaustive list of the machine learning algorithms scikit-learn has to offer, check out [this page in their documentation](https://scikit-learn.org/stable/supervised_learning.html). Machine learning algorithms are not one size fits all - different problems require different algorithms. There are many cases where linear regression will outperform logistic regression, for instance, so it's good to understand the various types of machine learning algorithms.