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Series 05

Index

Repository for the Series 05 | Julia Machine Learning for Beginners YouTube Playlist.

  • [05x01] What is Machine Learning? (no code)
  • [05x02] Linear Regression
  • [05x03] Logistic Regression
  • [05x04] Naive Bayes Classifier
  • [05x05] Support-Vector Machine using LIBSVM.jl
  • [05x06] Decision Tree, Random Forest & AdaBoost using DecisionTree.jl
  • [05x07] k-Nearest Neighbors & k-D Tree using NearestNeighbors.jl
  • [05x08] Intro to Artificial Neural Networks (Flux.jl part 1 of 2)
  • [05x09] Artificial Neural Networks Concepts (Flux.jl part 2 of 2)
  • [05x10] k-means Clusting using Clustering.jl
  • [05x11] Principal Component Analysis using MulitvariateStats.jl
  • [05x12] Markov Decision Process using POMDPs.jl
  • [05x13] SARSA and Q-learning Algorithms using POMDPs.jl

Notes

  • Tutorials 02-09: Supervised Learning
  • Tutorials 10-11: Unsupervised Learning
  • Tutorials 12-13: Reinforcement Learning