How to do Fashion MNIST image classification using CatBoost in Python Fashion MNIST is a dataset of images of clothing items, such as shirts, pants, and sneakers, with the goal of training models to recognize and classify them. One popular method for image classification is using CatBoost, a gradient boosting library that is …
Day: March 29, 2020
How to do Fashion MNIST image classification using LightGBM in Python Fashion MNIST is a dataset of images of clothing items, such as shirts, pants, and sneakers, with the goal of training models to recognize and classify them. One popular method for image classification is using LightGBM, a gradient boosting library that is …
How to do Fashion MNIST image classification using GradientBoosting in Python Fashion MNIST is a dataset of images of clothing items, such as shirts, pants, and sneakers, with the goal of training models to recognize and classify them. One popular method for image classification is using Gradient Boosting, a powerful and efficient algorithm …
How to do Fashion MNIST image classification using Xgboost in Python Fashion MNIST is a dataset of images of clothing items, such as shirts, pants, and sneakers, with the goal of training models to recognize and classify them. One popular method for image classification is using Xgboost, a powerful and efficient gradient boosting …
How to predict cancer (cancer data) using a keras deep learning model Predicting cancer using a keras deep learning model is a process that involves several steps. The cancer dataset is a popular dataset for classification tasks, and it consists of various features such as cell size, cell shape, and bare nuclei, among …
How to predict wine-class (wine data) using a keras deep learning model Predicting the class of a wine using a keras deep learning model is a process that involves several steps. The wine dataset is a popular dataset for classification tasks, and it consists of various features such as alcohol content, acidity, and …
How to predict diabetes (diabetes data) using a keras deep learning model Predicting diabetes using a keras deep learning model is a process that involves several steps. The diabetes dataset is a popular dataset for classification tasks, and it consists of various features such as age, blood pressure, BMI, diabetes pedigree function and a …
How to classify Flowers (iris data) using a keras deep learning model Classifying flowers, specifically the iris data, using a keras deep learning model is a process that involves several steps. The Iris dataset is a popular dataset for classification tasks, and it consists of 150 samples of iris flowers, each with four …
How to classify images using CIFAR10 dataset in Keras Classifying images using the CIFAR-10 dataset in Keras involves several steps. First, you need to import the CIFAR-10 dataset, which is a dataset of 60,000 color images of 32×32 pixels, divided into 10 classes. Each image belongs to one of the following classes: airplanes, …
How to setup a Regression Experiment using Boston Housing dataset in Keras Setting up a regression experiment using the Boston Housing dataset in Keras involves several steps. First, you need to import the Boston Housing dataset, which contains information about the median value of homes in the Boston area, and various features of …