Update README.md

Author: artursniegowski

07_Seaborn_and_Linear_Regression/README.md

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 This project will have a focus on analysing data about films. Data was scraped on May 1, 2018 from
 https://www.the-numbers.com/movie/budgets .In this analysis, we will explore the different aspects of how the budget of a movie influences the revenue, and also how to predict future revenue based on the budget and year it was filmed.
-Different Python libraries were used. like the visualisation library [Seaborn](https://seaborn.pydata.org/index.html), which is based on Matplotlib for generating different kinds of charts (bubble chart, scatter chart, regressions). as well as the open source data analysis library [scikit-learn](https://scikit-learn.org/stable/index.htm) (the gold standard for machine learning), which was used to calculate the data for linear regression, check how accurate our model is, and make predictions about future revenue.
+Different Python libraries were used. like the visualisation library [Seaborn](https://seaborn.pydata.org/index.html), which is based on Matplotlib for generating different kinds of charts (bubble chart, scatter chart, regressions). as well as the open source data analysis library [scikit-learn](https://scikit-learn.org/stable/) (the gold standard for machine learning), which was used to calculate the data for linear regression, check how accurate our model is, and make predictions about future revenue.
 
 
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@@ -19,7 +19,7 @@ NumPy
 https://numpy.org/doc/stable/index.html</br>
 
 scikit-learn
-https://scikit-learn.org/stable/index.html</br>
+https://scikit-learn.org/stable/</br>
 
 seaborn
 https://seaborn.pydata.org/index.html