Top 10 Machine Learning Algorithms from Scratch
Ahmed Abdul Wahid
As a self-taught data scientist, I built these algorithms from scratch using Python to help others start their journey in the field. No libraries, No shortcuts—just pure understanding. Perfect for beginners and enthusiasts:
Linear Regression (predict continuous values)
Logistic Regression (classify with probabilities)
SVM (build powerful decision boundaries)
KNN (neighbors guide predictions)
K-means (group data into clusters)
Decision Trees (split data with precision)
Random Forests (boost accuracy with ensembles)
Perceptron (the foundation of neural networks)
Naive Bayes (simplify classification)
PCA (reduce dimensions, unlock insights).
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Posted Dec 29, 2024
I built these algorithms from scratch using only Python No libraries, No shortcuts—just pure understanding.
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