Machine learning

    PyCharm (Community Edition)

    The IRIS dataset        Direct Link

    GA Code

                             Elitist GA Code

    Simple K-Means Clustering (on Synthetic Data)

                                           1. Mathematics for Machine Learning by Deisenroth, Faisal, and Ong

                                           2. Understanding Machine Learning: From Theory to Algorithms by Shalev-Shwartz and Ben-David

                                           3. Introduction to Machine Learning by Nilsson

                                           4. Introduction to Machine Learning by Smola and Vishwanathan

                                           5. Machine Learning by Mitchell


                                           1. Artificial Intelligence A Modern Approach by Russel and Norvig

                                           2. Genetic Algorithm by Goldberg

                                           3. Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow by Géron

                                           4. Neural Networks for Pattern Recognition by Bishop

                                           5. Pattern Recognition and Machine Learning by Bishop


                                           1. Learning Python by Lutz

                                           2. Python Pocket Reference by Lutz

                                           3. Python Cookbook by Beazley and Jones

                                           4. Mastering Machine Learning with Python in Six Steps by Swamynathan

                                           5. Learn Python in One Day and Learn it Well by Chan