Book Prices Prediction
Contents
Data Understanding
Understanding data and features
Data Cleaning For EDA
- Renaming columns
- Categorical to numerical
- Feature expansion
- Feature extraction
- Null values handling
Exploratory Data Analysis
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Univariate Analysis
- Target analysis
- Numerical features
- Categorical features
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Bivariate Analysis
- Year analysis
- Population analysis
- Price analysis
Data Preprocessing
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Target Log
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Encoding
- Ordinal
- One Hot
- Count Vectorizer
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Discretization
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Normalization
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Scaling
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Standardization
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Outlier Detection
Modeling
Random forest regressor is used.
Evaluation
MSE for train and test datasets
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Train MSE
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Test MSE
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Feature Importance
