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The document outlines a series of lab experiments conducted at Bahria University, focusing on data analysis and machine learning tasks. Key tasks include using K-means clustering on the Iris dataset, applying PCA and K-means on Amazon Reviews, implementing sentiment analysis using VADER and TextBlob, and training artificial neural networks on heart disease and Iris datasets. Each task includes objectives, code snippets, and expected outputs for evaluation.

Author

wasifmuzaffar0

Language

EN