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E-Commerce-Shipping-Data

An international e-commerce company based wants to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers. The company sells electronic products.

  • Developed a classification model for E-Commerce shipping data
  • Conducted exploratory data analysis to clean and organize the data
  • Utilized logistic regression, decision tree, random forest, KNN, and SVM algorithms for analysis
  • Achieved a 71% accuracy score with the decision tree algorithm

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