A repository archiving my Developer Student Club contents, other python related meet ups that were shared by the tutors.
This involves Machine Learning as either Supervised or Unsupervised Learning
(a) Supervised Machine Learning
In supervised learning, algorithms learn from labeled data. After understanding the data, the algorithm determines which label should be given to new data by associating patterns to the unlabeled new data.
Include but not limited to:
- Decision Trees
- Random forest( Many Decision Trees put together to compete as Ensemble Learnig)
- Naive Bayes
- K-Nearest Neighbours
- Support Vector Macines