TJ Gokkentjgokken.com·Apr 12, 2024Optimizing Machine Learning WorkflowsThe optimization of Machine Learning Workflows begins with the segregation of data into training, validation, and testing sets. However, before we do anything with our data, we need to "clean" it up. The broader term that is used in Machine Learning ...DiscussMachine Learning FundamentalsModel Optimization
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Apr 2, 2024A Comprehensive Guide to Stratified K-Fold Cross-validation for Unbalanced DataIntroduction Have you ever found yourself in a situation where your machine learning model struggles to perform well on classes with fewer samples? It's a scary scenario because some classes dominate others, skewing your model's ability to learn fair...Discuss·104 readsMachine Learning
Saurabh Naiksaurabhz.hashnode.dev·Nov 13, 2023Cross-Validation Chronicles: Elevating Model Evaluation with Python's Best TechniquesIntroduction: In the realm of machine learning, model performance evaluation is a critical aspect of the development process. One powerful tool in the data scientist's toolkit is cross-validation. This technique helps assess a model's performance, pr...DiscussData Science project lifecycleMachine Learning
Yuvraj Singhyuvraj01.hashnode.dev·Jul 27, 2023Cross Validation: A Powerful Tool for Machine LearningI hope you are doing great, so today we will talk about an important and everyone's favourite Data Science interview question "Cross validation". In case you are not aware about anything related to this keyword then don't worry after reading this blo...DiscussWeMakeDevs
Isheunesu Temboisheunesu.hashnode.dev·Jul 17, 2023Cross-Validation Using K-Fold With Scikit-LearnImagine that you are a medical research scientist and your task is to find a cure for a particular disease , you perform experiments and test the drug on animals before you administer it to humans . The same happens with machine learning we train the...DiscussMachine Learning
Tinz Twinstinztwins.hashnode.dev·Jun 15, 2023A beginner-friendly introduction to cross-validationCross-validation (CV) is a statistical test procedure based on resampling. It is an essential tool in modern statistics. Resampling refers to repeatedly taking samples from a training dataset and fitting a model to each sample again. This approach al...Discuss·8 likes·47 readsResampling
Afolabi Mahmood Olalekanafb.hashnode.dev·Jun 9, 2023How to Evaluate Machine Learning Models With Cross-ValidationWhat is Cross-validation? Cross-validation is a method for evaluating how well a machine-learning model performs on new data. To do this, the data is regularly divided into training and testing sets. The model is then trained on the training set, and...Discuss·1 likecross-validation
Rhythm Rawatrhythmblogs.hashnode.dev·Apr 23, 2023Hyperparameter Tuning and Cross-Validation: An In-Depth GuideIn machine learning, we often need to tune the parameters of our models to get the best performance. Hyperparameter tuning and cross-validation are two powerful techniques that can help us find the optimal set of parameters for a given model. In this...Discuss·1 like·397 readsMachine Learning
