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@@ -3,10 +3,10 @@ Example data science portfolio
 
 # [Project 1: Data Science Salary Estimator](https://github.com/PlayingNumbers/ds_salary_proj) 
 * Created a tool that estimates data science salaries (MAE ~ $ 11K) to help data scientists negotiate their income when they get a job.
-* Scraped over 1000 job descriptions from glassdoor using python and selenium
+* Scraped over 1000 job descriptions from glassdoor using python and selenium.
 * Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark. 
 * Optimized Linear, Lasso, and Random Forest Regressors using GridsearchCV to reach the best model. 
-* Built a client facing API using flask 
+* Built a client facing API using flask.
 
 ![](/images/positions_by_state.png)
 
@@ -14,6 +14,6 @@ Example data science portfolio
 # [Project 2: Ball Image Classifier](https://github.com/PlayingNumbers/ball_image_classifier) 
 For this example project I built a ball classifier to identify balls from different sports. This could be useful for someone who is new to sports from a certain country. They could take a picture of a ball and an app could serve them some information about the history and rules of the game. This is the underlying model for building something with those capabilities. 
 
-I was able to get the model to predict the sport of the ball with 94% accuracy after minimal tuning. For most of the cases this would meet the need of an end user of the app. To get these results I used transfer learning on a CNN trained on resnet34. This created time efficiencies and solid results. 
+I was able to make the model to predict the sport of the ball with 94% accuracy after minimal tuning. For most of the cases this would meet the need of an end user of the app. To get these results I used transfer learning on a CNN trained on resnet34. This created time efficiencies and solid results. 
 
 ![](/images/matrix_results.png)