This ML project predicts crime rate of different communities and categorizes them into low, medium, or high crime rate. For this the project implements decision tree (using entropy), adaboost, and multiclass svm models from scratch. The code, its description and results are present in 'Team16_Assignment2.pdf' and 'Team16_Assignment2.ipynb' files. Data used can be found in .data and .names files. the .data file can be read as a csv.
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Neo-Panther/ML-Project-Predicting-Crime-Rate
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ML Project implementing decision trees, boosting and svm classification from scratch.
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