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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -3,17 +3,17 @@ 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)


# [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)