Rename sklearn.md to sklearn-introduction.md

animator · web-flow · commit d6e610d8cc35 · 2024-06-02T04:03:36.000+05:30
diff --git a/contrib/machine-learning/sklearn-introduction.md b/contrib/machine-learning/sklearn-introduction.md
@@ -141,4 +141,4 @@ print(f"Accuracy: {accuracy * 100:.2f}%")
 
 ## Conclusion
 
-scikit-learn is a powerful and versatile library that can be used for a wide range of machine learning tasks. It is particularly well-suited for beginners due to its easy-to-use interface and extensive documentation. Whether you are working on a simple classification task or a more complex clustering problem, scikit-learn provides the tools you need to build and evaluate your models effectively.
+scikit-learn is a powerful and versatile library that can be used for a wide range of machine learning tasks. It is particularly well-suited for beginners due to its easy-to-use interface and extensive documentation. Whether you are working on a simple classification task or a more complex clustering problem, scikit-learn provides the tools you need to build and evaluate your models effectively.

Original file line number	Diff line number	Diff line change
`@@ -141,4 +141,4 @@ print(f"Accuracy: {accuracy * 100:.2f}%")`
`141`	`141`
`142`	`142`	`## Conclusion`
`143`	`143`
`144`		`-scikit-learn is a powerful and versatile library that can be used for a wide range of machine learning tasks. It is particularly well-suited for beginners due to its easy-to-use interface and extensive documentation. Whether you are working on a simple classification task or a more complex clustering problem, scikit-learn provides the tools you need to build and evaluate your models effectively.`
	`144`	`+scikit-learn is a powerful and versatile library that can be used for a wide range of machine learning tasks. It is particularly well-suited for beginners due to its easy-to-use interface and extensive documentation. Whether you are working on a simple classification task or a more complex clustering problem, scikit-learn provides the tools you need to build and evaluate your models effectively.`