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A classification project.

Jupyter Notebook 100.00%
binnig bootstrap classification cross-validation data-visualization dimensionality-reduction eda elbow-method forward-selection hypothesis-tests one-hot-encoding outlier-detection pca preprocessing scaling svm transformations imbalanced-data

mobilepriceclassification's Introduction

MobilePriceClassification

The dataset used in this project can be found on mobile-price-classification kaggle dataset

This project covers a variety of Machine Learning subjects including preprocessing, hypothetical tests, data cleaning, outlier detection, multiprocessing, data visualization, EDA, classification, different scaling methods, dimention-reduction methods, feature engineeing methods and so on...

MobilePriceClassification.ipynb contains the related codes along with some limited necessary descriptions; However, a full explanation on different parts of the projec as well as the results are available on report.pdf

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