kaushalsalvatore / ipl-match-result-prediction Goto Github PK

This model contains information about cricket matches including city, date, season, match number, participating teams, venue, toss details, match outcome, winning team, margin, method, player of the match, and umpire details. and predict Result according to provided details.

• https://boston-price-prediction.onrender.com/

1. IPL's🏏1st inning score🏆

2. IPL team Wining Prediction

    1.1 Data Set Characteristics:
    - Number of Instances: 76014 
    - Number of Attributes: 15 numeric and alphabetic.

    1.2 Data Attribute Information:
    1.2.1 - mid
    1.2.2 - date
    1.2.3 - venue
    1.2.4 - bat_team
    1.2.5 - bowl_team
    1.2.6 - batsman
    1.2.7 - bowler
    1.2.8 - runs
    1.2.9 - wickets
    1.2.10 - overs
    1.2.11 - runs_last_5
    1.2.12 - wickets_last_5
    1.2.13 - striker
    1.2.14 - non-striker

    2.1 Data Set Characteristics:
    - Number of Instances: 179078
    - Number of Attributes: 20 numeric and alphabet.

'id', 'Season', 'city', 'date', 'team1', 'team2', 'toss_winner', 'toss_decision', 'result', 'dl_applied', 'winner', 'win_by_runs', 'win_by_wickets', 'player_of_match', 'venue', 'umpire1', 'umpire2', 'umpire3', 'match_id', 'total_runs'

    2.2 Data Attribute Information:
    2.2.1 - id
    2.2.2 - Season
    2.2.3 - city
    2.2.4 - date
    2.2.5 - team1
    2.2.6 - team2
    2.2.7- toss_winner
    2.2.8- toss_decision
    2.2.9 - result
    2.2.10 - dl_applied
    2.2.10 - winner
    2.2.10 - win_by_runs
    2.2.10 - win_by_wickets
    2.2.10 - player_of_match
    2.2.10 - venue
    2.2.11 - winner

• Data Collection
• Data Analysis
• Data Visualization
• Feature Engineering
• Feature Selection
• Model Building
• Model Evalution
• Hyper Parameter Tunning
• Creating Pickle file
• Web App using Flask
• Deployment

python packages: Pandas, Numpy, Scikit-learn, matplotlib ,seaborn

ML Algorithms: Regression Algo,LinearRegression,DecisionTreeRegressor,RandomForestRegressor

Framework: Flask

frontend: Html, CSS

if you have any suggetion and feedback and need any kind of project related help reach me out at linkedin