CDS_CrashCourse

Data Science Crash Course for Cornell Data Science

Topics:

1. Data Acquisition

2. Feature Generation

3. Evaluation

4. Supervised Learning

5. Probabilistic Classifiers

6. Clustering

7. Dimensionality Reduction

8. Practice Case Study

For access to the powerpoint and notes, please visit: https://www.dropbox.com/sh/iatbbv5xqxk70sf/AAAuD9gswTbY_BzN_SILbuNxa?dl=0