Merge branch 'master' of github.com:/RubixML/Credit

Author: andrewdalpino

README.md

@@ -88,7 +88,7 @@ $estimator->train($dataset);
 ```
 
 ### Training Loss
-The `steps()` method on Logistic Regression outputs the value of the [Cross Entropy](https://docs.rubixml.com/latest/neural-network/cost-functions/cross-entropy.html) cost function at each epoch from the last training session. You can plot those values by dumping them to a CSV file and then importing them into your favorite plotting software such as [Plotly](https://plot.ly/) or [Tableu](https://public.tableau.com/en-us/s/).
+The `steps()` method on Logistic Regression outputs the value of the [Cross Entropy](https://docs.rubixml.com/latest/neural-network/cost-functions/cross-entropy.html) cost function at each epoch from the last training session. You can plot those values by dumping them to a CSV file and then importing them into your favorite plotting software such as [Plotly](https://plot.ly/) or [Tableau](https://public.tableau.com/en-us/s/).
 
 ```php
 use Rubix\ML\Extractors\CSV;
@@ -353,4 +353,4 @@ Institutions: (1) Department of Information Management, Chung Hua University, Ta
 >- Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
 
 ## License
-The code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
+The code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).