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Decision Trees for Classification: Making Choices Like a Flowchart
access_time 2025-04-26T12:56:44.185Z face Nerchuko
Decision Tree Classification Explained Simply Learn how machines make decisions like a flowchart using Entropy & Information Gain. Decision Trees for Classification: Making Choices Like a Flowchart How do we make decisions in everyday life? Often, we ask a series of questions. "Is it raining?" -> If...
Naive Bayes Classifier Explained (Part 2)
access_time 2025-04-26T12:49:02.491Z face Nerchuko
Gaussian Naive Bayes Explained (Part 2: Continuous Data) Learn how Naive Bayes handles features like Age or Salary using the Bell Curve. Gaussian Naive Bayes: Handling Numbers in Naive Bayes In Part 1, we saw how the Naive Bayes classifier uses probabilities based on feature frequencies (like counti...
Naive Bayes Classifier Explained (Part 1)
access_time 2025-04-26T12:40:25.008Z face Nerchuko
Naive Bayes Classifier Explained (Part 1) Understanding the power of probability for classifying data. Naive Bayes Classifier Explained Imagine you're a doctor diagnosing a patient. You look at their symptoms (features) and use your past experience (training data) and medical knowledge to estimate t...
Support Vector Machines (SVM): Finding the Best Divider
access_time 2025-04-26T12:23:43.303Z face Nerchuko
Support Vector Machines (SVM) Explained Mastering the art of finding the optimal boundary between classes. Support Vector Machines (SVM): Finding the Best Divider Imagine you have a scatter plot with two different groups of dots (say, blue and green). How would you draw a line to separate them? You ...
K-Nearest Neighbors (KNN): Learning by Similarity
access_time 2025-04-26T12:13:59.993Z face Nerchuko
K-Nearest Neighbors (KNN) Explained Simply Understand one of the simplest yet powerful classification algorithms. K-Nearest Neighbors (KNN): Learning by Similarity Imagine you meet someone new and want to guess if they like action movies or comedies. What might you do? You could look at their closes...