Movie Rating prediction...
Kaggle Dataset: https://www.kaggle.com/PromptCloudHQ/imdb-data/data
Casts: https://archive.ics.uci.edu/ml/machine-learning-databases/movies-mld/data/casts.html
Awards_types(dataset A): https://archive.ics.uci.edu/ml/machine-learning-databases/movies-mld/data/awtypes.html
Actors(dataset A): https://archive.ics.uci.edu/ml/machine-learning-databases/movies-mld/data/actors.html
Movies(dataset M): https://archive.ics.uci.edu/ml/machine-learning-databases/movies-mld/data/main.html
Used Levenshtein distance to match movie names in Kaggle Dataset with movies provided in other datasets Persisted the levenshtein distance cutoff scores to 80(for better recommendations)
- SVM for multiclass prediction
- LARS Lasso
- ROC-AUC Curve
- MAPE (LARS)
- R2 (LARS)