🚀 9 Essential Machine Learning Algorithms
A quick reference for anyone learning Machine Learning:
1️⃣ Linear Regression — Predict continuous values
2️⃣ Logistic Regression — Classification
3️⃣ Decision Tree — Rule-based prediction
4️⃣ SVM — Optimal decision boundaries
5️⃣ KNN — Similarity-based classification
6️⃣ Dimensionality Reduction — Reduce feature complexity
7️⃣ Random Forest — Ensemble of decision trees
8️⃣ K-Means — Clustering
9️⃣ Naive Bayes — Probabilistic classification
💡 Don’t just memorize algorithms. Understand when to use them, their assumptions, and their limitations.
📌 Save this cheat sheet for your ML journey.
August 24, 2026 52 2
