/MachineLearningFundamentals

A notebook about commonly used machine learning algorithms.

Primary LanguageJupyter Notebook

Based on the Machine Learning Tutorial Series by Dhaval Patel

Machine Learning Fundamentals

A notebook about commonly used machine learning algorithms, containing:

  • Univariate Linear Regression
  • Multivariate Linear Regression
  • Binary & Multiclass Logistic Regression
  • Decision Trees
  • Support Vector Machines (SVM)
  • Random Forest Classifier
  • K-Means Clustering
  • Naive Bayes Classifier
  • L1, L2 Regularization
  • K-Nearest Neigbour Classifier (KNN)
  • Principal Component Analysis (PCA)
  • Bootstrap Aggregation (Bagging)


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