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ethics-in-machine-learning

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samiksha-khare / machine-learning

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This project focuses on developing and training supervised learning models for prediction and classification tasks, covering linear and logistic regression (using NumPy & scikit-learn), neural networks (with TensorFlow) for binary and multi-class classification, and decision trees along with ensemble methods like random forests and boosted trees

random-forest linear-regression logistic-regression gradient-descent optimization-methods decision-trees boosted-trees model-evaluation multiclass-classification error-analysis bias-variance-tradeoff regularization-methods ethics-in-machine-learning
  • Updated Oct 12, 2024
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