Machine Learning Pointers - noise-lab/ml-networking GitHub Wiki
Supervised Learning
- Splines
- Bias, Variance, and Regularization in Linear Regression
- Regularization
- Intro to Naïve Bayes
- Naïve Bayes with Jupyter Notebook Example
- Naïve Bayes (YouTube)
- SVM Intro (YouTube, Stanford)
- SVM Intro (YouTube, Statquest)
- Random Forest Background (YouTube)
- Random Forest/Ensemble Background
- Advantages/Disadvantages of RF
- Hidden Markov Models (YouTube)
- Neural Network Playground
Unsupervised Learning
- Choosing k in k-means
- Intro to KDE (YouTube)
- Explanation of Density Estimation from sklearn docs
- 1D KDE Clustering Example
- Mixture Models Background
- Intro to EM (YouTube)
- EM Intro
- Using PCA, Visualizing PCA Results
- How to Read PCA Biplots, Scree Plots
- PCA and SVD Explained with Numpy