GitHub / harsh-apcr / MTL782-Data-Mining
Analyze various classification models on codon-usage dataset, Implementing Apriori and FP-growth algorithms from scratch in python 3 along with some modifications to improve performance
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PURL: pkg:github/harsh-apcr/MTL782-Data-Mining
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Language: Jupyter Notebook
Size: 3.17 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: apriori-algorithm, apriori-tid, decision-tree, fpgrowth, knn, naive-bayes, projected-database, random-forest