GitHub - quanghieu31/statistical-learning: Attempts to implement statistical learning methods from papers

All things related to statistical learning and data manipulation for machine learning and modeling projects

Useful papers/methods, try to re-implement some of them
Takeaway notes from An Introduction to Statistical Learning, most of my notes are annotated directly in the PDF book-- plan to review and summarize them later
Practice implementing these techniques on toy data or Kaggle data

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
02-statistical-learning		02-statistical-learning
03-linear-regression		03-linear-regression
04-classification		04-classification
08-tree-based		08-tree-based
09-kernel-svm		09-kernel-svm
12-unsupervised		12-unsupervised
categorical-variables		categorical-variables
data-imputation		data-imputation
deep-learning		deep-learning
high-dim-and-factor-analysis		high-dim-and-factor-analysis
model-selection-evaluation		model-selection-evaluation
static		static
.gitignore		.gitignore
README.md		README.md

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