/Learning_R

Learnings in R

Primary LanguageHTML

learning_R

Jupyter Notebooks

  1. Decision Trees with package rpart.ipynb
  2. How to Convert or Transform the list.ipynb
  3. How to create a new variable based on two categorical variables.ipynb
  4. How to perform Hierarchical Clustering using hclust.ipynb
  5. Linear Regression.ipynb
  6. Outlier Detection.ipynb
  7. predict the wearable activities.ipynb
  8. Random Forest.ipynb
  9. RDM- Decision Trees.ipynb
  10. RDM- Exploration of Data.ipynb
  11. TopicModelling.ipynb
  12. _Not Working_Exploratory Data Analysis.ipynb
  13. _Not Working_Human activity recognition using smartphones.ipynb

R code for book "R and Data Mining: Examples and Case Studies"

  1. ch-introduction
  2. ch-import-export
  3. ch-exploration
  4. ch-decision-trees
  5. ch-regression
  6. ch-clustering
  7. ch-outlier
  8. ch-time-series
  9. ch-association
  10. ch-text-mining
  11. ch-social-network
  12. cs-HPI-forecast
  13. cs-response-prediction
  14. cs-limited-memory