A repository having all data science concepts programmed in R.
To have a proper documentation of the concepts learnt in the bootcamp course Data Science and Machine Learning in R.
The repository is structured in the same way as the bootcamp course is structured. The only key difference is I will be using Rmarkdown.
This way I can generate all html files and also publish them in Rpubs.
| Sl no. | Folder name | Description |
|---|---|---|
| 1. | Introduction to R basics | |
| 2. | R matrices | |
| 3. | R data frames | |
| 4. | R Lists | |
| 5. | Data Input & Output with R | |
| 6. | R Programming Basics | |
| 7. | Advance R Programming | |
| 8. | Data Manipulation with R | |
| 9. | Data Visualization with R | |
| 10. | Data Visualization Project | |
| 11. | Interactive visualizations with Plotly | |
| 12. | Capstone Data Project | |
| 13. | Introduction to ML with R | |
| 14. | ML with R - Linear Regression | |
| 15. | ML with R - KNN | |
| 16. | ML with R - Decision tree and Random forest | |
| 17. | ML with R - Support Vector Machines | |
| 18. | ML with R - K Means Clustering | |
| 19. | ML with R - NLP | |
| 20. | ML with R - Neural Nets | |
| 21. | Repository WIKI |
: Course content