A classification model implemented using Deep Neural Networks
Knowledge Discovery in Dataset
Atividades e trabalhos feitos para a disciplina de Aprendizado de Máquina, semestre 2020.1, Universidade Federal do Ceará - Campus Quixadá.
It calculates the accuracy score and confusion matrix for a logistic regression model. The dataset is about coupon used or not in an apparel store known as Simmons .
Applying Transfer Learning on Stanford Dogs Dataset
Demonstrating Ensemble Learning using Bagging and Random Forest algorithm
A quick analysis of simple CNN architectures classifying Handwritten MNIST dataset.
Given the details of cell nuclei taken from breast mass, objective is to predict whether or not a patient has breast cancer using the Ensembling Techniques. This is a classification problem. The dataset consists of several predictor variables and one target variable, Diagnosis. The target variable has values 'Benign' and 'Malignant', where 'Beni…
Customer Churn Analysis
Predict-whether-a-client-has-subscribed-a-term-deposit-or-not
Deep Reinforcement Learning (DRL) overview.
Classifying the tissues.
More than 101 zoo animals to apply classification ML models.
The aim of this project is to develop a machine learning model capable of detecing the differences between a rock and a mine based based on the response of 60 seperate sonar frequencies.
E-Commerce reviews.
Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.
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In this paper I introduce a new oral lesion database that I created by scraping Images from research papers and dentists online. Next, I showcase a novel method for generating NxN pixel samples from human lips by isolating the labial fissure via image segmentation induced via the Kmean algorithm. I experiment with a variety of convolutional neur…
Predicting Heart Disease using Machine Learning
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