Repo for learning Data Science/ML/AI concepts and excercises.
Covers:
- center of tendencies.
- Predictive analysis such as linear and polynomial regression.
- Clustering algorithms such as KMeans.
- Classification algorithms such as Decision Trees, Random forests.
- Support vector machines.
- Model evaluation techniques such as accuracy and error rate.