Techniques : Predictive Modeling, Prediction, Regression Modeling, Regression, Feature Expraction, Preprocessing, Visualizeation, Feature Engineering
- Developed regression model for predicting movie revenue and ratings from 5000 movie data.
- Performed data analysis, visualization, feature extraction, cleaning (missing value, anomaly), preprocessing (rescaling, normalization, feature transformation (one hot encoding)) and trained with cross-validation.
- With 28 numerical, textual and categorical features attained regression error (Mean Squared Error) 0.005 on scale of 1 for revenue.
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Current Version : v1.0.0.0
Last Update : 10.11.2016