Topics:
- Introduction to Machine Learning
- How does Machine Learning works?
- Supervised, Semi supervised and Unsupervised Learning
- Parametric and Non Parametric methods
- Support Vector Machine (SVM) (Not too technical)
- Testing and Training data
- Hands on training using SVM
Bring your own dataset to know more about SVM training and testing.