Tag: Scikit-Learn

In this article, you will get to learn about multi-label classification using deep learning, neural networks, and PyTorch. ...

In this post, you will learn about the Histogram of Oriented Gradients (HOG) descriptor in the field of computer vision. Along with that, you will also learn how to carry out image recognition using Histogram of Oriented Gradients (HOG) descriptor and Linear SVM. A bit of background… I constantly learn about deep learning and do […] ...

In this article, we will take a practical approach to the k-Nearest Neighbor in machine learning. For implementation purposes of the k-Nearest Neighbor, we will use the Scikit-Learn library. We will try a classification problem using KNN. We will try the digit classification using the MNIST dataset. After all, before neural networks, traditional machine learning […] ...

Random Forests are powerful ensemble machine learning algorithms that can perform both classification and regression. In machine learning, random forests work quite well in large and complex datasets. They can give high accuracy score. But we can improve these results even further. Therefore, in this article, we will learn how to perform hyperparameter tuning in […] ...

Updated on April 19, 2020. The MNIST handwrttien digit data set has become the go-to guide for anyone starting out with classification in machine learning. But it is not only for students and learners. Even researchers who come up with any new classification technique also try to test it on this data. So, in this article, […] ...