An interactive deep learning-based IPL Score Predictor built using historical match data. This project predicts IPL match scores based on user input, such as venue, batting team, bowling team, striker, and bowler. The model is developed using a neural network and optimized with Huber loss, and the interface is built using ipywidgets for a seamless user experience.
IPL_Score_Predictor/
│
├── IPL_Score_Predictor.ipynb # Main notebook containing the model and interactive widgets
├── ipl_data.csv # Dataset containing IPL match data
- Python 3.x
- Jupyter Notebook
- Required libraries:
numpy
,pandas
,matplotlib
,scikit-learn
,keras
,Seaborn
.