Master Generative AI with 10+ Real-world Projects in 2025!
Build image classification models in Pytorch and TensorFlow. Learn CNN for image classification on MNIST dataset and analyze the performance of the model.
Transfer learning in NLP is a technique to train a model to perform similar tasks on another dataset. Learn how to fine tune BERT for text classification.
Learn about kNNImputer and how you can use them to impute missing values in a dataset. Also get an overview of missing value and its patterns.
Learn 5 Pandas tips, tricks, hacks for python in jupyter notebook. It is one of the most essential libraries to be efficiently mastered by data scientists.
Use Spark NLP on AWS EMR and do text categorization of BBC data. We examine different evaluation metrics in Spark MLlib and see how to store a model.
Explore R-squared and Adjusted R-squared. Understand their significance in model evaluation and ensure robust regression analysis. Read Now!
Flask is a web application framework written in Python. Learn model deployment and build an image classification model in PyTorch, deploy it using Flask.
Master Python style guide with essential PEP 8 guidelines. Enhance readability, maintainability, and collaboration with best practices.
Learn about Information Extraction, its process, and tools like SpaCy. Extract insights from text data efficiently with code examples.
Hugging Face has released a brand new Tokenizer libray version for NLP. This Tokenizer version bring a ton of updates for NLP enthusiasts
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