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data-preprocessing

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Movie Recommendation System is an R project to enhance your Machine Learning knowledge. It is simply a recommendation system that provides consumers with various suggestions based on their history and interests.

  • Updated Dec 19, 2022
  • R

In this project we can see in action and in detail a big part of the ML pipeline (data wrangling,model building, model evaluation) that comprises different algorithms and approaches such as Decision Trees (RPART), Linear Discriminant Analysis (LDA), Gradient Boosting Machne (GBM), Random Forest (RF) Support Vector Machine (SVM) with or without M…

  • Updated Aug 27, 2020
  • R

This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.

  • Updated Dec 14, 2024
  • R

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