Resources

[sirodoht]

• https://pandas.pydata.org/pandas-docs/version/1.4/getting_started/comparison/comparison_with_sql.html
• https://towardsdatascience.com/ml-from-scratch-decision-tree-c6444102436a
• https://www.youtube.com/watch?v=VMj-3S1tku0 — micrograd

  Gaussian Naive Bayes (GNB)
  Bernoulli Naive Bayes (BNB)
  Multinomial Naive Bayes (MNB)
  Logistic Regression (LR)
  Stochastic Gradient Descent (SGD)
  Passive Aggressive Classifier (PAC)
  Support Vector Classifier (SVC)
  K-Nearest Neighbor (KNN)
  Decision Tree (DT)
  Random Forest (RF)
  Extra Trees Classifier (ERF)
  AdaBoost (AB)
  Gradient Tree Boosting (GTB)

• https://machinelearningmastery.com/start-with-gradient-boosting/