classical-ml

10 problems

• AdaBoost fit (decision stumps)Medium
• Bernoulli Naive Bayes classifierMedium
• Best Gini-based split (decision tree)Medium
• DBSCAN clusteringMedium
• Decision tree learning (ID3)Hard
• Divide dataset by feature thresholdEasy
• K-means: one iterationMedium
• k-NN classification (majority vote)Easy
• Linear regression — normal equationMedium
• Pegasos kernel SVMMedium