A Movie-Classifier made with Scikit-Learn library classifiers such as Decision Tree and Random Forest. The report can be found in report.ipynb
- Phase0: Data Analysis
- Loading Data
- Analyzing Data
- Viewing Missing Data
- Phase1: Preprocess
- Dealing With Missing Values
- Normalization and Standardization
- Handling Categorical Data
- Handling Listed Data
- Count Vectorizer
- Overall
- Information Gain
- Phase2: Decision Tree
- Train and Test Data
- Making the Tree
- Evaluation
- Phase3: Random Forest
- Conclusion