/DataMining_R_notebooks

R Notebooks on Data Mining topics

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DataMining_R_notebooks

R Notebooks on Data Mining topics Assignents from the Data Mining class of the IIT Chicago

All notebooks are made to be visuals, using the librairies dplyr and ggplot2. In each folder, you will find thr R notebook alognside an Html version of it.

Topics covered :

HW1 :

  • Data Analysis and representation
  • Linear Regression

HW2 :

  • Decision tree classification
  • Random Forest
  • Association rules

HW3 :

  • K_mean Clustering
  • Hierarchical Clustering
  • PCA

HW4 :

  • Data Analysis and pairwise comparaisons
  • Content-based recommendation system
  • Collaborative Filtering