The AI_ML_Training repository, maintained by ValafarLab, offers a collection of resources focused on Artificial Intelligence (AI) and Machine Learning (ML). The repository is structured into several directories, each corresponding to different AI/ML techniques:
- AI_not_ML: Materials related to AI concepts distinct from traditional ML approaches.
- ANN: Resources on Artificial Neural Networks.
- DecisionTree: Content covering decision tree algorithms.
- KNN: Information on the K-Nearest Neighbors algorithm.
- K_Means_Clustering: Materials pertaining to K-Means clustering techniques.
- RandomForest: Resources about Random Forest algorithms.
- Regression: Content focusing on regression analysis methods.
All materials are provided as Jupyter Notebooks, facilitating interactive learning and practical implementation of the concepts discussed.