Repository for Artificial Inteligence Course IIC2613

Numpy implementation of a one hidden layer MLP

Classification into 10 categories of Fashion-Mnist Data "Hello-world" program for machine learning

Backpropagation - MLP

Wine Classification with Neural Network

Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilian Symposium of Robotics (LARS/SBR 2020)

In this project, I have created a neural network that classifies real world images digits. I have used MLP and CNN concepts in building, training, testing, validating and saving your Tensorflow classifier model.

A Back-Propagation implementation using Java that makes hand-written letter recognition.

🧠 Exercício Programa abordando algoritmos de classificação para a disciplina Inteligência Artificial da EACH-USP

Using machine learning algorithms to perform sentiment analysis from Hepsiburada phone comments.

Data Science project to predict if a breast tumor is malign or benign.

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

This repository contains some of the Machine Learning Algorithms that serves a basic level understanding of how various algorithms works , different classification method , their analysis and overall accuracy score etc

We classify whether the data in the dataset is churn or not

Lab Exercises for the Neural Networks & Intelligent Systems course @ ECE NTUA

Python-based Typing Speed Test Application

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

Spam SMS Detection model is a powerful solution built to identify and classify spam messages using the Naive Bayes algorithm. The accompanying Flask interface provides users with a seamless experience for submitting SMS entries, tracking usage, and receiving real-time classification results.

Data Science Project : Tweet Sentiment Analysis Using LSTM and MLP Classifier