Rohithnag·8h agoLogistic Regression: Understanding the Algorithm Behind ClassificationLogistic Regression is a supervised machine learning algorithm used to predict categorical outcomes.
Gilaburu·2d agoHow machines learn: Classification, Clustering and BeyondIn our map of AI, ML, deep learning and reinforcement learning we grouped machine learning by the kind of feedback a model gets: right…
Gollapalli Sai Teja·3d agoDecision Tree Algorithm in Machine LearningUnderstand how Decision Trees make predictions using conditions and decision rules, along with Gini Impurity, Entropy, Information Gain…
InData And BeyondbySaurabh Anand·3d agoNaive, but not foolish: the Naive Bayes algorithm, explained with a security guard and a spam…How a “simple” assumption that is almost always wrong still builds a useful classifier, and where it quietly lets you downA response icon2A response icon2
Mohammad Atif·3d agoToken Classification: Teach AI to Label Every Word (and Prepare for LLM Fine-Tuning)A simple guide with free code for Google Colab. No API key.
Anagha CS·3d agoPredicting Bank Term Deposit Subscriptions with Machine LearningA step-by-step journey through imbalanced data, model comparison, threshold tuning, and customer prioritisation
Sravya Sirapu·3d agoDecision Tree Algorithm in Machine Learning: A Complete Beginner’s GuideIntroduction
Mohammad Atif·4d agoClassify Text Without Training Any Model: A Simple Python GuideA simple guide with free code for Google Colab. No API key.
Sawan Rai·Oct 29Gaussian Naïve Bayes, Step by Step: Will My Food Delivery Arrive Late?A hand-calculated walkthrough with every number shown, bell-curve plots, and a 3D view, using a small made-up food-delivery dataset.
Chintala Saikiran·Oct 27Is Your Machine Learning Model Really Good?Imagine you are preparing for an exam. You answer 90 out of 100 questions correctly and feel confident that you performed well.A response icon1A response icon1
