Added Machine Learning Model for IPL Outcome Prediction"

[bhanushri12]

Title: Implement RandomForestClassifier for IPL Match Outcome Prediction

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Issue: 1284

Description:

This pull request introduces a RandomForestClassifier model for predicting IPL match outcomes. Key changes and additions include:

• Data Preprocessing:

  • Encoded categorical variables using pd.get_dummies.
  • Addressed missing values and ensured proper data formatting for model training.

• Model Implementation:

  • Configured and trained a RandomForestClassifier with specific hyperparameters (n_estimators=200, min_samples_split=3, max_features='sqrt').
  • Split the dataset into training and testing sets.

• Feature Engineering:

  • Included relevant features such as team names, toss details, and match results.
  • Dropped non-essential columns to improve model performance.

• Model Training and Evaluation:

  • Fitted the model to the training data.
  • Evaluated the model's performance on the test set.

Additional Notes:

• Ensure all dependencies are installed before running the model.
• The model showed promising results with initial evaluations; further tuning and feature engineering can enhance performance.

Checklist:

• Code follows the project's style guidelines.
• Changes are tested and verified.

[github-actions]

@bhanushri12

It's great having you contribute to this project

Thank you for opening a Pull Request 🙌 , Welcome to Project Guidance 💖 We will review everything and get back to you :)

[bhanushri12]

@Kushal997-das I have added few changes.

[github-actions]

@bhanushri12 Hurray, your PR got merged into our Project-Guidance 🥳. Thanks a bunch. Feel free to take another Issue. 💖