Mobile-Price-Prediction

Mobile Price analysis and Visualization with Machine learning algorithms

Project Flow

1. Import Libraries

2. Dataset Processing

3. Data Visualization

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   • Feature Importance

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4. Model Building With ML-Algos

   • Logistic Regression

   • LDA

   • K-Nearest Neighbors

   • Decision Tree Classifier

   • Naive Bayes

   • Random Forest

   • Support Vector Machines

   • XG-Boost

   • Performance measure

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5. Hyper Parameter Tuning

   • all Machine Learning algorithm are tuned with with their parameters for more accuracy.
   • Classification report after applying Tuning the parameters
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6. Learning Curves

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