ml

Objective

Implementing ML with Python using the material from the books.

Name		Name	Last commit message	Last commit date
parent directory ..
clustering		clustering
documents/svd		documents/svd
images		images
linear_regression		linear_regression
logistic_regression/iris		logistic_regression/iris
pca		pca
performance		performance
results		results
README.md		README.md
bayesian_regression.ipynb		bayesian_regression.ipynb
bigmac_gdp_analysis.ipynb		bigmac_gdp_analysis.ipynb
bigmac_population_analysis.ipynb		bigmac_population_analysis.ipynb
country_population_growth.ipynb		country_population_growth.ipynb
decision_tree.ipynb		decision_tree.ipynb
ensemble_classifier.ipynb		ensemble_classifier.ipynb
k_mean_clustering.ipynb		k_mean_clustering.ipynb
kaggle_digit_recognizer_pca_knn.ipynb		kaggle_digit_recognizer_pca_knn.ipynb
kaggle_titanic_pca_random_forest.ipynb		kaggle_titanic_pca_random_forest.ipynb
linear_regression.ipynb		linear_regression.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
mcmc.ipynb		mcmc.ipynb
mcmc_search_nd_mean.ipynb		mcmc_search_nd_mean.ipynb
model_performance_metrics.ipynb		model_performance_metrics.ipynb
model_performance_metrics_knn.ipynb		model_performance_metrics_knn.ipynb
pca.ipynb		pca.ipynb
pca_iris.ipynb		pca_iris.ipynb
setup.sh		setup.sh