AppliedStatistics

Applied Statistics Course from scratch with jupyter notebook

This is jupyter notebook for AMAT565 Applied Statistics Course at SUNY Albany.

Name		Name	Last commit message	Last commit date
Latest commit History 130 Commits
.idea		.idea
Data		Data
Homework		Homework
book		book
image		image
syllabus		syllabus
.DS_Store		.DS_Store
.gitattributes		.gitattributes
10_Decision_tree.ipynb		10_Decision_tree.ipynb
11_Ensemble_Methods_Bagging,_Random_Forest_and_AdaBoost.ipynb		11_Ensemble_Methods_Bagging,_Random_Forest_and_AdaBoost.ipynb
12_Case_Study_House_values_in_California.ipynb		12_Case_Study_House_values_in_California.ipynb
12_Feature_extraction_and_ML_in_Practice.ipynb		12_Feature_extraction_and_ML_in_Practice.ipynb
1_Univariate_probability_distribution.ipynb		1_Univariate_probability_distribution.ipynb
2_Multivariate_probability_distribution.ipynb		2_Multivariate_probability_distribution.ipynb
3_Maximum_likelihood_estimation.ipynb		3_Maximum_likelihood_estimation.ipynb
4_Linear_Regression.ipynb		4_Linear_Regression.ipynb
5_Ridge_Regression.ipynb		5_Ridge_Regression.ipynb
6_Kernalized_Regression.ipynb		6_Kernalized_Regression.ipynb
7_Bias_Variance_tradeoff.ipynb		7_Bias_Variance_tradeoff.ipynb
7_LASSO.ipynb		7_LASSO.ipynb
9_Mixture_Models_and_EM.ipynb		9_Mixture_Models_and_EM.ipynb
Ensemble_Methods_Gradient_Boosting.ipynb		Ensemble_Methods_Gradient_Boosting.ipynb
README.md		README.md

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