A Complete Walktrough Guide: https://www.analyticsvidhya.com/blog/2021/10/building-an-ipl-score-predictor-end-to-end-ml-project/

Deployed App Can Be Found Here: https://ipl-score-pedictor.herokuapp.com/

This Project Is All About Time Series Data

PROBLEM STATEMENT: Given an IPL Dataset, can u predict the scores of the IPL team Currently Playing. The Dataset Has Following Cols:

• 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)

PACKAGES USED:

• Pandas - For data handling and manipulation
• Scikit Learn - For model and algorithms
• Jupyter - Working IDE

FILES

1. Code Files:

• IPL Score Prediction Using Simple Linear Regression.ipynb - Code For Implementing Linear Regression
• IPL Score Prediction Using Simple Linear Regression.ipynb - Code For Implementing Ridge Regression
• IPL Score Prediction Using Lasso Regression.ipynb - Code For Implementing Lasso Regression

2. Model Files:

• ipl_score_predict_model.pkl - Model File For Linear Regresssion , Can Be Pickled
• ipl_score_predict_ridge_model.pkl - Model File For Ridge Regression , Can Be Pickled
• ipl_score_predict_lasso_model.pkl - Model File For Lasso Regression , Can Be Pickled

3. DATA FILE:

• ipl.csv - Dataset Used