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training-testing
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Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.
training testing exploratory-data-analysis eda word-cloud feature-extraction supervised-learning bag-of-words datasets tokenization stemming supervised-machine-learning bag-of-visual-words pre-processing supervised-classification-methods training-testing
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Aug 7, 2023 - HTML
Machine Learning projects from undergrad.
natural-language-processing sentiment-analysis neural-network random-forest sklearn accuracy confusion-matrix decision-trees multi-layer-perceptron principal-component-analysis decision-tree-classifier k-nearest-neighbours svc support-vector-classifier random-tree training-testing mean-squared-error
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Jan 7, 2025 - Jupyter Notebook
Implementation of LDA and QDA classifiers using the Iris dataset. Includes data normalization, training, testing, and accuracy measurement.
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Jul 16, 2024 - Jupyter Notebook
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