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artificial-bee-colony-algorithm

Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems.

bbc-news-sentiment-analysis

sentiment analysis and clustering

body-fat-prediction

A new approach in predicting body fat percentage using linear regression

chatgpt-based-virtual-assistant

Super Dynamic Virtual Assistant Using ChatGPT

classification-using-gmdh-neural-network

Classification is a supervised machine learning method where the model tries to predict the correct label of a given input data. In classification, the model is fully trained using the training data, and then it is evaluated on test data before being used to perform prediction on new unseen data.

classification-using-graph-convolutional-network

A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of convolutional neural networks which operate directly on graphs.

cnn-vgg-resnet-using-tensorflow

A convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing, due to its ability to recognize patterns in images.

collaborative-interactive-movie-recommendation-system

A new approach in designing and developing a collaborative-interactive movie recommender system based on user ratings

data-prediction-and-text-or-video-classification-using-lstm

Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques, machine learning, and deep learning. Researchers employ predictive analytics to find patterns in this data to identify risks and opportunities.

firefly-algorithm

Firefly algorithm is a bio-inspired metaheuristic algorithm for optimization problems.

generate-music-with-ga

Generate Music/Melody with Genetic Algorithm

heart-failure-prediction

New decision support system in predicting heart failure using logistic regression algorithm

iris-and-cancer-classification-and-pattern-recognition-based-on-lvq

Learning Vector Quantization ( or LVQ ) is a type of Artificial Neural Network which also inspired by biological models of neural systems. It is based on a prototype supervised learning classification algorithm and trained its network through a competitive learning algorithm similar to Self Organizing Map.

knapsack-problem-using-ant-colony-optimization

neural-gas-and-growing-neural-gas

The neural gas is a simple algorithm for finding optimal data representations based on feature vectors. The algorithm was coined "neural gas" because of the dynamics of the feature vectors during the adaptation process, which distribute themselves like a gas within the data space.

qap-using-ant-colony-algorithm

road-lines-detection

The self-driving cars are one of the latest artificial intelligence technologies in which the computer vision system is used. Self-driving cars use OpenCV's lane detection features to recognize road lanes and are trained not to drive outside the lane. OpenCV library is an open-source and machine learning software.

time-series-prediction-using-gmdh-neural-network

It is a sorting-out of gradually complicated models generated from base function. The best model is indicated by the minimum of the external criterion characteristic. Multilayered procedure is equivalent to the Artificial Neural Network with polynomial activation function of neurons.

tsp-using-ant-colony-algorithm

The travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?"

tsp-using-genetic-algorithm

Travelling Salesman Problem (TSP)

virtual-assistant

Build Your Own Virtual Assistant (Personal Voice Assistant) with Python