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⨍ Functions 73 ◇ Types & classes 13

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README

Machine Learning From Scratch by AssemblyAI

This repository contains the code developed in the Machine Learning from scratch course on YouTube by AssemblyAI. It includes the implementations of popular ML algorithms.

Watch the course on our YouTube channel

The code is based on the similar repository by Python Engineer (Patrick Loeber): https://github.com/python-engineer/MLfromscratch

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↓ 3 filesKMeans

10 KMeans/kmeans.py

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05 Random Forests/DecisionTree.py14 symbols

04 Decision Trees/DecisionTree.py14 symbols

10 KMeans/kmeans.py10 symbols

09 SVM/svm.py7 symbols

08 Perceptron/perceptron.py6 symbols

06 NaiveBayes/naive_bayes.py6 symbols

05 Random Forests/RandomForest.py6 symbols

01 KNN/KNN.py6 symbols

03 Logistic Regression/LogisticRegression.py5 symbols

07 PCA/pca.py4 symbols

02 Linear Regression/LinearRegression.py4 symbols

05 Random Forests/train.py1 symbols

For agents

$ claude mcp add Machine-Learning-From-Scratch \
  -- python -m otcore.mcp_server <graph>

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github.com/AssemblyAI-Community/Machine-Learning-From-Scratch @main

Machine Learning From Scratch by AssemblyAI

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