Welcome to my repository for the Kaggle competition "Ghouls, Goblins, and Ghosts... Boo!". This repository contains the code and analysis for the competition, aiming to predict the type of creature (ghost, ghoul, or goblin) based on provided features.
The competition is closed but archived and can be found in this link -> https://www.kaggle.com/competitions/ghouls-goblins-and-ghosts-boo/data
The "Ghouls, Goblins, and Ghosts... Boo!" Kaggle competition challenges participants to develop a machine learning model that accurately classifies creatures into one of three categories: ghost, ghoul, or goblin. The competition provides a labeled training dataset and an unlabeled test dataset for evaluation.
This repository contains the necessary code and resources to tackle the competition. The exact file structure may vary depending on the organization of the code. Please refer to the repository files and their documentation for further details.
- KNN
- MLP
- Naive-Bayes
- SVM
To utilize the code and resources in this repository, follow the instructions below:
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Clone the repository to your local machine.
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Install the required dependencies as specified in the provided documentation or requirements file.
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Review the code and analysis files to understand the implementation details and explore different approaches used.
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Use the code and resources as a reference for your own implementation, adapting and modifying them to suit your needs.
Note: A boxplot, a colored countplot and a pairplot are used to evaluate performance further.
The code in this repository is licensed under the appropriate license. Please refer to the repository's license file for more information.
This was a very fun problem for me to engage into as i learned about various ML models such as those mentioned above!Much obliged to the Kaggle Community.