Evaluate Student Summaries
A kaggle competition to evaluate student summaries.
The github repository for this project can be found here.
The goal of this project was the evaluation of student summaries. The dataset consists of student summaries and their corresponding grades. The task was to predict the grades of the student summaries. The dataset was provided by the Kaggle competition.
Technologies used in this project:
- Python: Programming Language
- Pandas: Data manipulation, Data analysis, Data cleaning, Data preprocessing
- NLTK: Natural Language Processing
- Matplotlib: Data visualization
- Scikit-learn: Basic machine learning algorithms
- HuggingFace: Pretrained models for NLP tasks
- Jupyter Notebook: Development environment
- PyTorch: Deep learning library