Master Generative AI with 10+ Real-world Projects in 2025!
Start working on these 30 challenging data science open source projects to try in 2020. From NLP to CV, these data science projects cover a lot.
Neural fake news is a nuisanse these days. We can use state-of-the-art natural language processing (NLP) techniques to detect and fight it.
Streaming data is the big thing in machine learning. Learn about how to use a machine learning model to make predictions on streaming data using PySpark.
Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.
Apple’s Core ML 3 is a useful language for data scientists. Learn about the AI ecosystem and how Core ML 3 works and build deep learning models on iPhone.
Improve your deep learning model performance by understanding 4 key challenges and the tricks to overcome them.
Transfer learning has changed the ML landscape. Explore pytorch transfer learning and how you can perform transfer learning using PyTorch.
Exlpore knowledge graphs, including their representation, entity extraction, relation extraction, and practical steps to build. Read More!
Enhance your chances of getting hired with these 8 ambitious data science projects sourced from GitHub. These are open source data science projects.
Learn how to build convolutional neural network (CNN) models using PyTorch. Work on an image classification problem by building CNN models.
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