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This article provides an overview of three Machine Learning projects that can help data scientists improve their skills. The first project involves using CNNs to classify dog breeds from user-supplied photos. The second project involves using the user-friendly Gradio library to implement a machine-learning model. The third project involves using natural language processing (NLP) to identify false news. Python libraries such as PyTorch or TensorFlow, Gradio, and NLTK are used in the implementation of these projects.
