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This project focuses on building a predictive model to identify the types of seeds based on 11 different attributes. The dataset was pre-processed and split into training and testing sets. The Support Vector Machine (SVM) algorithm was used along with hyperparameter tuning to improve the model's performance.

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Jonathan-Monir/Pumpkin_Seeds_Dataset

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This project focuses on building a predictive model to identify the types of seeds based on 11 different attributes. The dataset was pre-processed and split into training and testing sets. The Support Vector Machine (SVM) algorithm was used along with hyperparameter tuning to improve the model's performance.

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