Mobile Price Range Prediction: Use sales data to build a classification model for mobile phone price ranges. Features include battery power, camera, memory, and connectivity. Split data, apply logistic regression, KNN, SVM (linear and rbf), and evaluate using confusion matrices. Select the most accurate model.
python
data-science
machine-learning
rbf-kernel
logistic-regression
svm-classifier
knn-classification
mobilepriceclassification
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Updated
Jun 21, 2023 - Jupyter Notebook