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Datathon FIAP - The main objective of the Datathon is for you, as a data scientist, to create a predictive proposal or, as a data analyst, to develop an analytical proposal to demonstrate the impact that the NGO "Passos Mágicos" has been making on the community it serves.
This is a JavaScript program that simulates an AI agent going to the store, buying items, and heading home. Perceptrons are used to help the agent make decisions in the program.
Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.
Repository for Computational Intelligence Laboratory exercises in the 7th semester of the UG CSE program at Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu.
Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.
Implementation using ONLY the Numpy library of classifiers and the evaluation of their performance on the iris plant and the pima Indians diabetes datasets.
Code to analyze diverse data and predict wind velocity with tensorflow. It employs a neural network architecture to train and optimize the model for regression problems.
The perceptron algorithm is the basic algorithm for classification, which serves as the backbone of the Neural Networks and SVM linear classification. This code will provide a deep understanding of the algorithm by taking you through it from scratch.