Artificial Intelligence Some Algorithms implemented while studying Artificial Intelligence Evolutionary Problems 1. Genetic Algorithms: OneMax Problem GuessPassword Problem Machine Learning 1. Supervised Learning K-Nearest Neighbors Algorithm - KNN: Fruit Classification (C++) Iris Plant Classification (C++) Linear Regression Univariate linear regression through Least Squares Method (C++) Univariate linear regression through Gradient Descent Optimization Algorithm (C++) Predicting house prices (C++) Neural Network Simple Neural Network with only one Neuron (C++) MNIST Handwritten Digit Classification (Python with Tensorflow and Keras) Convolutional Neural Network applied to the MNIST dataset (Python with Keras) Convolutional Neural Network applied to the CIFAR10 dataset (Python with Keras) 2. Data mining and Machine Learning problems using Orange Canvas Software Classification problems: Iris classification Titanic classification Breast Cancer (Malignant or Benign classification) Unsupervised Learning Problems: Mall Customers Segmentation Others Problems: Covid-19 cases in Pará (Map) Computer Programs Information C++11 OpenCV 4.1.0 Library Orange Canvas Python Tensorflow, Keras, Scikit-learn, Numpy, Matplotlib, etc.
