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Artificial Intelligence

Motto: (Always clean and pre-process ).then(split into train/test)

Supervised Learning Algorithms

  • Svm
    • why do we need margin?
    • for medical
  • Knn
    • for shopping
  • Naive Bayes
    • p(H/E)=P(E/H)P(H)/P(E) : bayes theorem, here H=hypothesis,E=evidence
    • P(H/E) : posterior
    • P(E/H) : likelyhood

Unsupervised Learning Algorithms

  • K-Means
    • Clustering Methods:
      • Elbow Method
      • Purpose based

Disclaimer

Contents of this repository are only meant for learning the aspects of computer forensics. Only use for educational purposes

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