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