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A collection of machine learning experiments from new2.ipynb

Project description

ML New2 Experiments

This package contains machine learning experiments extracted from a Jupyter notebook new2.ipynb.

The experiments cover:

  • Univariate, Bivariate, Multivariate analysis
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • AdaBoost
  • K-Nearest Neighbors (KNN)
  • K-Means Clustering
  • Principal Component Analysis (PCA)
  • Support Vector Machines (SVM)
  • Single and Multi Layer Perceptrons

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