--- title: "#multiclass-classification articles | Hashnode" description: "Explore 8 articles tagged #multiclass-classification on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/multiclass-classification" --- Tag # #multiclass-classification 8 posts · 0 followers [Tanayendu Bari](https://hashnode.com/@lagran) · [Jun 25, 2025](https://hashnode.com/posts/multi-class-image-classification-with-fashionmnist-in-pytorch/685c66aaba5bb5a00e7986e6) ### [Multi-Class Image Classification with FashionMNIST in PyTorch](https://multi-class-image-classification.hashnode.dev/multi-class-image-classification-with-fashionmnist-in-pytorch?utm_source=hashnode&utm_medium=feed) Learn how to implement multi-class classification using PyTorch. This step-by-step tutorial covers data preprocessing, model creation, training, and evaluat 10 min read · [multi-class-image-classification.hashnode.dev](https://multi-class-image-classification.hashnode.dev/multi-class-image-classification-with-fashionmnist-in-pytorch?utm_source=hashnode&utm_medium=feed) [Mohamad Mahmood](https://hashnode.com/@mohamadrazzimy) · [Mar 31, 2025](https://hashnode.com/posts/handling-imbalanced-datasets-applying-smote-for-multiclass-classification/67ea6487f74bb71d6df05bd4) ### [Handling Imbalanced Datasets: Applying SMOTE for MultiClass Classification](https://hashnotes.hashnode.dev/handling-imbalanced-datasets-applying-smote-for-multiclass-classification?utm_source=hashnode&utm_medium=feed) Handling imbalanced datasets, especially in multi-class classification problems, can be challenging. One popular technique for addressing this issue is the Synthetic Minority Over-sampling Technique (SMOTE). Here's an overview of how to apply SMOTE i... 8 min read · [hashnotes.hashnode.dev](https://hashnotes.hashnode.dev/handling-imbalanced-datasets-applying-smote-for-multiclass-classification?utm_source=hashnode&utm_medium=feed) [Henry Ha](https://hashnode.com/@henryha) · [Mar 16, 2025](https://hashnode.com/posts/human-activity-recognition-using-logistic-regression/67d652a49156e5ba26970ad1) ### [Human Activity Recognition Using Logistic Regression](https://data-science-portfolio.hashnode.dev/human-activity-recognition-using-logistic-regression?utm_source=hashnode&utm_medium=feed) Building a Multi-Class Classification Model for Human Activity Recognition Using Logistic Regression 17 min read · [data-science-portfolio.hashnode.dev](https://data-science-portfolio.hashnode.dev/human-activity-recognition-using-logistic-regression?utm_source=hashnode&utm_medium=feed) [Pranav Bawgikar](https://hashnode.com/@pranavbawg) · [Dec 21, 2024](https://hashnode.com/posts/classification-in-machine-learning/6766bc304516bd22d86d85c6) ### [Classification in Machine Learning](https://pranavbawg.hashnode.dev/classification-in-machine-learning?utm_source=hashnode&utm_medium=feed) \[24\] What do you mean by classification? Process of arranging data into homogeneous (similar) groups according to their common characteristics. Raw data cannot be easily understood, and it is not fit for further analysis and interpretation. Arrangeme... 5 min read · [pranavbawg.hashnode.dev](https://pranavbawg.hashnode.dev/classification-in-machine-learning?utm_source=hashnode&utm_medium=feed) [ADEKUNLE CHRISTIANAH AYOMIDE](https://hashnode.com/@Luna06) · [Nov 26, 2024](https://hashnode.com/posts/a-data-science-journey-with-lasso-regression-to-predict-chess-game-winner/6745f0346dc7ef9ec8b37410) ### [A Data Science Journey with Lasso Regression to Predict Chess Game Winner.](https://i-am-christy.hashnode.dev/a-data-science-journey-with-lasso-regression-to-predict-chess-game-winner?utm_source=hashnode&utm_medium=feed) Did you know that there are more possible variations of chess games than there are atoms in the observable universe? Introduction Chess is a noble game, primarily played by royalties. It is often referred to as ‘the game of kings’ because the King o... 12 min read · [i-am-christy.hashnode.dev](https://i-am-christy.hashnode.dev/a-data-science-journey-with-lasso-regression-to-predict-chess-game-winner?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/a-data-science-journey-with-lasso-regression-to-predict-chess-game-winner/6745f0346dc7ef9ec8b37410) [ByteScrum Technologies](https://hashnode.com/@bytescrum) · [Sep 16, 2024](https://hashnode.com/posts/how-to-use-scikit-learn-for-classification-tasks-a-comprehensive-guide/66e7fde30ee7a109b823e4f7) ### [How to Use Scikit-learn for Classification Tasks: A Comprehensive Guide](https://blog.bytescrum.com/how-to-use-scikit-learn-for-classification-tasks-a-comprehensive-guide?utm_source=hashnode&utm_medium=feed) Complete Guide to Classification in Scikit-learn for Machine Learning Fans 5 min read · [blog.bytescrum.com](https://blog.bytescrum.com/how-to-use-scikit-learn-for-classification-tasks-a-comprehensive-guide?utm_source=hashnode&utm_medium=feed) [Sanika Nandpure](https://hashnode.com/@sanikanandpure) · [May 19, 2024](https://hashnode.com/posts/multiclass-classification-using-softmax-activation/66498ab2960ceca176c44c78) ### [Multiclass Classification Using Softmax Activation](https://sanikanandpure.hashnode.dev/multiclass-classification-using-softmax-activation?utm_source=hashnode&utm_medium=feed) an in-depth explanation of multiclass classification and the softmax activation function 2 min read · [sanikanandpure.hashnode.dev](https://sanikanandpure.hashnode.dev/multiclass-classification-using-softmax-activation?utm_source=hashnode&utm_medium=feed) [Prakhar Kumar](https://hashnode.com/@PK115) · [Apr 8, 2024](https://hashnode.com/posts/multiclass-classification-in-python-techniques-examples-and-best-practices/66143fd90d7702191cfc527b) ### [Multiclass Classification in Python: Techniques, Examples, and Best Practices](https://prakhartechinsights.hashnode.dev/multiclass-classification-in-python-techniques-examples-and-best-practices?utm_source=hashnode&utm_medium=feed) Multiclass classification 4 min read · [prakhartechinsights.hashnode.dev](https://prakhartechinsights.hashnode.dev/multiclass-classification-in-python-techniques-examples-and-best-practices?utm_source=hashnode&utm_medium=feed)