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voting-ensemble

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In this project, different supervised machine learning algorithms like Decision Tree, Naive Bayes, K-nearest neighbour,Random Forsest, Logistic Regression etc. were trained on the training data set and then Ensemble Learning was used to improve the accuracy were

  • Updated Aug 10, 2022
  • Jupyter Notebook

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

  • Updated Oct 19, 2024

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