@sanjaysantokee
Evaluating Multiple Classification Models and Performing Hyperparameter Tuning with Supervised Learning on the Heart Disease and KRKPa7 Datasets
In this study, five different Machine Learning classification models were utilized with the aim of determining the best feature sets and enhance the accuracy of predictions for both heart disease and the outcome of white winning or losing in the KRKPa7 chess endgame.
Comparative Study of Random Search Algorithms for Optimization Problems and Weight Optimization of Neural Networks
This study compares the performance of four randomized optimization search algorithms on three optimization problems: Max K Color, Knapsack, and Continuous Peaks.
Applying Multiple Clustering Methods with Dimensionality Reduction to Neural Networks on the Heart Disease and KRKPa7 Datasets
The study involves the implementation of six algorithms, including k-means clustering, expectation maximization, PCA, ICA, randomized projections, and any other feature selection algorithm.
Exploring Reinforcement Learning Techniques for Decision Making in Markov Decision Processes
Our study investigates the application of reinforcement learning in MDPs by analyzing two interesting MDPs, one with a limited number of states and the other with a large number of states