From 8204579e725fd72d3aae49e7e6504dc3ea4d9448 Mon Sep 17 00:00:00 2001
From: Allan Waweru <94552522+Allanwaweru@users.noreply.github.com>
Date: Tue, 25 Jan 2022 10:46:38 -0500
Subject: [PATCH] Update README.md

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 9515a39..4e68859 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
-# Ken_Portfolio
+# Allan_Portfolio
 Example data science portfolio
 
-# [Project 1: Data Science Salary Estimator](https://github.com/PlayingNumbers/ds_salary_proj) 
+# [Project 1: NBA Salary Predictions](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
 * Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark. 
@@ -11,7 +11,7 @@ Example data science portfolio
 ![](/images/positions_by_state.png)
 
 
-# [Project 2: Ball Image Classifier](https://github.com/PlayingNumbers/ball_image_classifier) 
+# [Project 2: Formula 1 Data Explanatory Analysis](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.