https://github.com/abhik1711/iplscorepredictor

This Streamlit webapp enables user to predict total runs between teams using current runs and wickets.
https://github.com/abhik1711/iplscorepredictor

jupyter-notebook python

Last synced: about 2 months ago
JSON representation

This Streamlit webapp enables user to predict total runs between teams using current runs and wickets.

• Host: GitHub
• URL: https://github.com/abhik1711/iplscorepredictor
• Owner: abhik1711
• Created: 2024-06-22T10:55:37.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-22T11:00:43.000Z (7 months ago)
• Last Synced: 2024-06-23T17:06:34.648Z (7 months ago)
• Topics: jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 9.55 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# IPL Score Predictor

This Streamlit webapp enables user to predict total runs between teams using current runs and wickets.

**Algorithms used:**

* Linear Regression

* K-Nearest Neighbor Regressor 

* RandomForest Regressor

* Decision Tree Regressor

**Hyperparamter Optimization:**

Used optuna for paramter optimization.

**Dataset:**

The dataset comprises of over by over details of matches and runs from 2008 to 2020.

Dataset Used: ipl_data.csv

* mid - match id

* date - when matches are played

* venue - place where matches aew played

* bat_team - batting team

* bowl_team - bowling team

* batsman - batsman

* bowler - bowler

* runs - runs scored

* wickets - wickets

* overs - overs - next 3 are based on this

* run_last_5 - runs scored in last 5 overs

* wicket_last_5 - wickets in last 5 overs

* stricker - batsman playing as main 1

* non-striker - batsman playing as runner up - not main 0

* total - total score (target variable)

**Streamlit App**