Debanjan Chakrabortysubspace.hashnode.dev·Jul 28, 2024Predicting Loan Approval Risk: A Comprehensive GuideIntroduction Predicting loan approval risk is a critical task for financial institutions. Accurate predictions can help banks and lenders minimize risks and make informed decisions. In this blog post, we will explore a comprehensive approach to build...Discussprediction
Apurva Gadakhapurva5.hashnode.dev·Jul 26, 2024A Guide to Implementing Decision Tables in Software TestingCondition 1Condition2Condition3Condition4Condition5Condition6Condition7Condition8Condition9Condition10Condition11Condition12Condition13Enter URLYNYYYYYYYYYYYEnter First NameYNYYYYBlankYYYYEnter Last NameYYNYYYYBlankYYYEnter email idYYYNYYYYBlankYYEnt...DiscussTesting
ABHISHEK SINGHforABHISHEK SINGH's team blogabhisinghai.hashnode.dev·Jul 26, 2024Learn Machine Learning and AI with Python Easily-DAY_01Decision Trees: A Powerful Machine Learning Algorithm: What is a Decision Tree? A decision tree is a widely used machine learning algorithm that can be used for both classification and regression tasks. It is a type of supervised learning algorithm t...Discuss·10 likesMachine Learning
Muhammad Ihsanemhaihsan.hashnode.dev·Jul 15, 2024Prediksi Harga Rumah dengan Decision Tree RegressorPendahuluan Decision Tree adalah salah satu algoritma yang sangat populer dalam machine learning, digunakan baik untuk masalah klasifikasi maupun regresi. Pada artikel ini, kita akan fokus pada Decision Tree Regression terlebih dahulu. Decision Tree ...Discuss#Regression
TemiTope Kayodeblog.codewithtemi.site·Jul 6, 2024Building a Simple Machine Learning Model: A Step-by-Step GuideMachine learning, a revolutionary tool in data interpretation, is transforming how we handle and interpret data. It's the driving force behind many modern applications, from predicting stock prices to recommending products. In this guide, we will wal...Discuss·9.7K readsMachine Learning
Bhavya Shingariadvancedideamechanics.hashnode.dev·Jun 26, 2024Decision Tree Classification in PythonClassification is a two-step process; a learning step and a prediction step. In the learning step, the model is developed based on given training data. In the prediction step, the model is used to predict the response to given data. A Decision tree i...Discuss·10 likes·39 readsMachine Learning
Lakshay Dhoundiyallakshaydhoundiyal.hashnode.dev·Jun 11, 2024Exploring the Best 5 AI Algorithms and Their ApplicationsArtificial Intelligence (AI) is revolutionizing how we interact with technology, making it smarter and more intuitive. This transformation is occurring due to these powerful algorithms that enable machines to learn from data and make informed decisio...Discuss·21 likes·51 readsHandwritten Digit Recognition
Arbash Hussaincckeh.hashnode.dev·Jun 8, 2024A Step-by-Step Guide to Decision Trees in Machine LearningIntroduction Welcome back, everyone! Apologies for the delay in continuing our ML algorithms series that started on January 1, 2024. But no worries, we are back on track and ready to speed things up! From now on, I’ll be uploading one machine learnin...Discuss·30 readsMachine LearningDecision Tree
Sanika Nandpuresanikanandpure.hashnode.dev·May 19, 2024decision trees vs. neural networksDecision trees/tree ensembles work well on tabular (structured) data, such as the type that you could store in a spreadsheet Neural nets are better than decision trees for learning and making predictions for unstructured data (images, audio, speech,...Discussdecisiontree
Sanika Nandpuresanikanandpure.hashnode.dev·May 19, 2024decision tree boosting and xgboostBoosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that you may be already familiar with known as deliberate practice. When preparing for a test, it is often a smart practice t...DiscussXgboost
