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ML-Basics

Python implementation of basic ML algorithms from scratch using numpy and pandas

1. K Nearest Neighbors (KNN)

  • KNN is a simple algorithm that stores all available cases and classifies new cases based on a similarity measure (e.g., distance functions).
  • Iris Dataset
    • KNN Dataset

2. Linear Regression

  • Linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).
  • Linear Regression

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python implementation of basic ML algorithms

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