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      • Bayes classifier
      • Bayes' theorem
      • Bayesian statistics
      • Bias variance trade off
      • Bootstrapping
      • Classification
      • Classification error metrics
      • Confidence intervals
      • Data science
      • Decision tree and random forest
      • Histogram
      • K nearest neighbours (KNN) theory
      • K nearest neighbours (KNN) with python
      • Linear discriminant analysis (LDA)
      • Linear regresssion
      • Linear regresssion in python
      • Logistic regression
      • Logistic regression coefficients
      • Logistic regression in python
      • Machine learning
      • Mathematical model
      • Maximum likelihood
      • Mean, variance and standard deviation
      • Normal distribution
      • P-value
      • Population and estimated parameters
      • Prior probability and posterior probability
      • Probability
      • Probability distribution
      • Python
      • R
      • Random sampling
      • Regression error metrics
      • Resampling
      • Sampling a distribution
      • Stats
      • Supervised learning
      • t-test
      • Z-value

About this knowledge garden

Oct 10, 2023, 1 min read

Welcome to my knowledge garden.

I update my study notes from time to time.

🌱 Focus areas §

  • Data science
  • Machine learning
  • R
  • Python

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