Photo by Julien Laureau on Dribbble Introduction Fall detection is major problem in healthcare. Old people fall often and there should be immediate aid for them as injury can be series, even lead to the death. In this project, we will use Convolutional Neural Network architecture to detect whether a person has fallen or not in …
Photo by Wevoke on Dribbble Introduction In this project, we will examine the data and build a deep neural network that will classify glass based upon certain features. Data Source The data is available publicly over the Kaggle from here you can easily download. About data The purpose of the dataset is predict the class of …
Photo by FM ILLUSTRATION on Dribbble Let’s build a classifier for classifying Insects e.g. Butterfly, Dragonfly, Mosquito, Grasshopper, and Ladybug using Keras Tensorflow Module. Here are the steps we will follow: Data Import Visualizing Images Building Image Generators Model Architecture Prediction About Dataset: The dataset contains images of insects from different websites and there are 5 …
Photo by dongkyu lim on Dribbble We all come across numerous flowers on a daily basis. But we don’t even know their names at times. We all wonder “I wish my computer/mobile could classify this” when we come across a beautiful looking flower. That is the motive behind this article, to classify flower images. The main …
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 …
Photo by Eugene Machiavelli for Shakuro on Dribbble You’ll want to evaluate almost every model you ever build. In most (though not all) applications, the relevant measure of model quality is predictive accuracy. In other words, will the model’s predictions be close to what actually happens. Many people make a huge mistake when measuring predictive accuracy. …
Photo by MUTI on Dribbble Context Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and …
Water Potability Test using Deep Neural Networks Read More »
Photo by LISTENXU on Dribbble TABLE OF CONTENTS 1. IMPORTING DATA 2. LOADING DATA 3. DATA VISUALIZATION AND TECHNIQUES 4. DATA PREPROCESSING 5. MODEL BUILDING 6. CONCLUSION 7. End IMPORTING LIBRARIES LOADING DATA ABOUT THE DATA Context Predict next-day rain by training classification models on the target variable Rain Tomorrow. Content This dataset contains about 10 years …