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Smart-Phone-Price-Prediction

Requirements

1.) Python 3.3 or above

2.) sklearn python library

3.) Numpy

4.) Pandas

5.) Matplotlib

Description

I used different Machine Learning models and found Xgboost and Logistic Regression gave the best testing accuracy after manipulating and testing different parameters. Xgboost gave 95.1% testing accuracy and Logistic Regression gave 96.7% testing accuracy. ( This problem is available on Kaggle with the datasets )