This module will introduce you to Artificial Neural Networks and a practical approach to build single and multilayer neural networks to solve supervised learning tasks
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Updated
Dec 26, 2022 - Jupyter Notebook
This module will introduce you to Artificial Neural Networks and a practical approach to build single and multilayer neural networks to solve supervised learning tasks
A list of my projects I've worked on until 2019.
The job interview for "Turk AI" company
Machine Learning Stroke Outcome Prediction
EDA of Brain Tumor Data, Heart Disease Classifier
contains basic starter code when i started machine learning
Generic image classifiers implemented
This work is a small test to demonstrate the F-test and described in the MLxtend paper. It uses the Iris dataset. To conduct the test, we compare the accuracy of 5 different models, and then test the null hypothesis
Homework for 572 NLP. Mostly classifiers.
Pitting Neural Networks against a gamut of classifiers such as Naive Bayes, Decision Trees, SVM in classifying posts into subreddits.
Assignments for course MachineLearning
This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.
Multi-class classifier of Aerobic activities including running, hiking, and cycling from heart rate, geographic, altitude, speed, and other data. Final Project for CSE 258: Recommender Systems and Web Mining
Diagnostic performance of HPV-DeepSeek, a hybrid capture whole genome sequencing liquid biopsy for HPV-associated cancers
Prediction of the passengers that survived the shipwreck of Titanic.
Implementations of a few regressors, classifiers and gradient descent algorithms using numpy
Comparing Classifiers
Implementações das listas exercícios da disciplina de Sistemas de Múltiplos Classificadores da pós-graduação em Inteligência Computacional do Centro de Informática (Cin) - UFPE.
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