Unify company name: NetFlix -> Netflix

README.md

@@ -124,7 +124,7 @@ P.P.S, Looking for guides and interviews on applying ML? 👉[`applyingML`](http
 ## Regression
 1. [Using Machine Learning to Predict Value of Homes On Airbnb](https://medium.com/airbnb-engineering/using-machine-learning-to-predict-value-of-homes-on-airbnb-9272d3d4739d) `Airbnb`
 2. [Using Machine Learning to Predict the Value of Ad Requests](https://blog.twitter.com/engineering/en_us/topics/insights/2020/using-machine-learning-to-predict-the-value-of-ad-requests.html) `Twitter`
-3. [Open-Sourcing Riskquant, a Library for Quantifying Risk](https://netflixtechblog.com/open-sourcing-riskquant-a-library-for-quantifying-risk-6720cc1e4968) ([Code](https://github.com/Netflix-Skunkworks/riskquant)) `NetFlix`
+3. [Open-Sourcing Riskquant, a Library for Quantifying Risk](https://netflixtechblog.com/open-sourcing-riskquant-a-library-for-quantifying-risk-6720cc1e4968) ([Code](https://github.com/Netflix-Skunkworks/riskquant)) `Netflix`
 4. [Solving for Unobserved Data in a Regression Model Using a Simple Data Adjustment](https://doordash.engineering/2020/10/14/solving-for-unobserved-data-in-a-regression-model/) `DoorDash`
 
 ## Forecasting