A collection of Machine Learning (ML) and Artificial Intelligence (AI) projects using Python, Sklearn, Pandas and other tools.
Hold-Out, Cross Validation and optimization of models throughout multiple iterations.
Comparison between simulated annealing and a genetic algorithm for searching the optimal solution in a sequence sorting problem.
Predict whether a patient has thyroid disease using Linear Classifier, Logistic Classifier, K-nearest Neighbors and other models.
Application of clustering techniques K-means, Hierarchical Clustering and DBSCAN with a household electric power consumption dataset (not included due to large size)