Image classification using GradientBoost: An example in Python using CIFAR10 Dataset Image classification is a task of assigning a label to an image based on its visual content. It is a fundamental problem in the field of computer vision and has many practical applications, such as self-driving cars and image search engines. One …
Month: March 2020
Image classification using CatBoost: An example in Python using CIFAR10 Dataset Image classification is a task of assigning a label to an image based on its visual content. It is a fundamental problem in the field of computer vision and has many practical applications, such as self-driving cars and image search engines. One …
Image classification is a task of assigning a label to an image based on its visual content. It is a fundamental problem in the field of computer vision and has many practical applications, such as self-driving cars and image search engines. One popular algorithm for image classification is XGBoost, a gradient boosting algorithm that …
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 …
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 …