- Welcome!
- Syllabus
- Course Outline
- Get R
- Get Python3/Anaconda
- Class Lectures
- Class Assignments
- Readings and Resources

NOTE: I have created an enormous self-coded R-code collection for data mining. This is my code, so use it as you wish and take the time to learn from it. Never simply *copy* code. Always learn from code by following its logic step-by-step and then utilizing the new methods for your goals.

**TOPICS:**

1. R for data wrangling: cleaning, prep, pre-processing, normalization

2. Association Rule Mining with R

3. Decision Trees with R

4. Clustering in R: EM, kmeans, hclust, and distance measures such as cosine similarity.

5. Naive Bayes and prediction/classification.

6. Support Vector Machines in R and prediction.

7. k-Nearest Neighbor (kNN) and Random Forest

8. Text Mining Methods

** Data Mining R shared Gates Repository of code.**

R For Data Science eBook

Many many Free eBook on Data Science and on R

Applied Data Science

Note: eBooks are free. This means that sometimes they are not available or the links stop working :)