Update README.md

README.md

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 ## 🛠️ Resources
 * [Open Source Models with Hugging Face](https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/) - In this course from DeepLearning.AI & 🤗, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Easily package your code into a user-friendly app that you can run on the cloud using Gradio and Hugging Face Spaces.
-* [Practical AI for Investigative Journalism](https://www.youtube.com/playlist?list=PLewNEVDy7gq1_GPUaL0OQ31QsiHP5ncAQ) - – A six-session series led by Jonathan Soma, Journalism Professor at Columbia, covering real-life use cases in journalism and featuring numerous open-source tools.
+* [Practical AI for Investigative Journalism](https://www.youtube.com/playlist?list=PLewNEVDy7gq1_GPUaL0OQ31QsiHP5ncAQ) - A six-session series led by Jonathan Soma, Journalism Professor at Columbia, covering real-life use cases in journalism and featuring numerous open-source tools.
 * [Wonder Tools](https://wondertools.substack.com/p/huggingface) - Jeremy Caplan, Director of Teaching and Learning at CUNY’s Newmark Graduate School of Journalism, curated a list of interesting Spaces with potential use cases in journalism.
 * [Tasks](https://huggingface.co/tasks) - Explore demos, use cases, models, datasets, and more to get started with tasks in computer vision, NLP, audio, multimodal, and reinforcement learning.
 * [🤗 Courses](https://huggingface.co/learn/) - Learn about natural language processing (NLP), audio, computer vision, reinforcement learning and diffusion models.