ML-from-Scratch

Objective

This Repo aims to contains warious topic/techniques of Machine learning, which is easy to understand and is implemented from scratch.

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Content of this repo

• Machine learning Algos

  • Linear Regression
  • Logistic Regression
  • K Nearest Neighbors

• ML Techniques

  • Ordinal Encoding

  • OneHot Encoding

  • Standardization

  • Normalization

  • Handling missing values

    • Mean Median Imputation
    • Arbitary Value Imputation
    • KNN Imputation

  • Handling Outliners

    • Z-Score
    • IQR Method

• Evaluation Metrices

  • Regression metrices
  • Classification metrices