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GitHub / gt0410 / Predicting_ViolentCrime_Data

Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gt0410%2FPredicting_ViolentCrime_Data

Stars: 0
Forks: 1
Open issues: 0

License: gpl-3.0
Language: R
Size: 359 KB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: about 2 years ago

Topics: elasticnet, feature-engineering, lasso-regression, r, regression-analysis, ridge-regression, support-vector-regression

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