Kannada Text Recognition App
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NN
Heart Disease UCI Prediction using NN
Photo by Irina Mir on Dribbble Context This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The “goal” field refers to the presence of heart disease in the
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Fingerprint pattern classification using Deep Learning
Photo by Manu Designer on Dribbble Fingerprint, as a unique feature of each person, can be divided into different types. In this project, we identify real fingerprints pattern and classify them with convolutional neural networks(CNN). Dataset The dataset is the original NIST 8-Bit Gray Scale Images of Fingerprint Image Groups(FIGS). It comprises 4000 images that are
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Shape Images Classification Using NN
Photo by Margarita Ivanchikova on Dribbble 100 triangles, 100 squares, and 100 circles in processing. each png image is 28×28 px, the images are in 3 folders labeled squares, circles, and triangles pretty straightforward We have to find the shape that falls in its category by training the model using Neural Networks. Importing Libraries Unzipping the data
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Lower Back Pain Symptoms Detection using NN
Photo by Colleen Tracey on Dribbble 310 Observations, 13 Attributes (12 Numeric Predictors, 1 Binary Class Attribute — No Demographics) Lower back pain can be caused by a variety of problems with any part of the complex, interconnected network of spinal muscles, nerves, bones, discs, or tendons in the lumbar spine. Typical sources of low back pain include:
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Heart Disease Prediction using Neural Networks
Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using
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Resume Screening using Deep Learning on Cainvas
Photo by Joe Le Huquet on Dribbble Resume Screening is necessary when companies receive thousands of applications for different roles and need to find suitable matches. For this project, the dataset originally consists of 2 columns — Category and Resume, where the Category denotes the field (eg: Data Science, HR, Testing etc.). By using the resume as an
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Kannada MNIST using NN
Photo by Alexandra on Dribbble MNIST like dataset for Kannada handwritten digits The goal of this competition is to provide a simple extension to the classic MNIST competition we’re all familiar with. Instead of using Arabic numerals, it uses a recently-released dataset of Kannada digits. Kannada is a language spoken predominantly by the people of Karnataka
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