Hello from my new project. In this project, I made real the works on classification models of Machine Learning. The project comprises part one and part two. I created three datasets in the first chapter of part one and visualized them. In the second chapter of part one, I applied machine learning models on created the three datasets and then visualize the results of the models. In part two, I created the functions of the work we did in part one. In this functions, I made real both data creation and classification and then visualized the results of the models. My reason why I did this project is to examine the results of machine learning models on the same data sets. At the same time, I am improving myself in topics of artificial intelligence, and in this improving path, I make projects. This project is one of the projects I have done to improve myself.
- n_samples : 5000 , n_features : 3, n_classes : 3, random_state : 0, noise_class : 0.3
- Classification_Data1(5000, 3, 3, 0, 0.3)
- n_samples : 5000, noise_moon : 0.3, random_state : 0.3
- moon_classify(5000, 0.3, 0)
- n_samples: 5000, noise_circle: 0.3, random_state: 0, factor : 0.2
- Circle_Classify(5000, 0.3, 0, 0.2)
I prepared this project with the contribution of DATAI TEAM udemy courses. Thanks everything DATAI TEAM.