Update README.md

Author: curiousily

README.md

@@ -20,5 +20,6 @@ The whole book can be read using the links below. Each part contains a notebook
 - [Time Series Forecasting with LSTMs for Daily Coronavirus Cases](https://www.curiousily.com/posts/time-series-forecasting-with-lstm-for-daily-coronavirus-cases/)
 - [Time Series Anomaly Detection using LSTM Autoencoders](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)
 - [Create Dataset for Sentiment Analysis by Scraping Google Play App Reviews](https://www.curiousily.com/posts/create-dataset-for-sentiment-analysis-by-scraping-google-play-app-reviews-using-python/)
+- [Sentiment Analysis with BERT and Hugging Face](https://www.curiousily.com/posts/sentiment-analysis-with-bert-and-hugging-face-using-pytorch-and-python/)
 
 Consider buying the book if you want to support my work. Thanks for stopping by! 🤗