README.md

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