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.