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ml-algorithms

Thorough implementation of various Machine Learning algorithms and analysis on sample datasets.

ML algorithms:

  1. Supervised Learning
    • Regression
      • Linear Regression
      • Ridge Regression
    • Classification
      • Logistic Regression
      • Support Vector Machine
  2. Unsupervised Learning
    • Dimensionality Reduction
      • Principal Component Analysis
    • Clustering
      • K-means Clustering
      • Spectral Clustering

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Thorough implementation of various Machine Learning algorithms and analysis on sample datasets.

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