Data_Science/ML/AI

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.