Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
File Explorer
Download Latest Version (.zip)- cartoon_figures.vsd
- clustering_001.png
- clustering_002.png
- clustering_003.png
- clustering_004.png
- clustering_005.png
- ensemble_001.png
- ensemble_002.png
- ensemble_003.png
- ensemble_004.png
- example_tree_001.png
- example_tree_002.png
- example_tree_003.png
- example_tree_004.png
- example_tree_005.png
- example_tree_006.png
- intro_001.png
- learning_theory_001.png
- learning_theory_002.png
- learning_theory_003.png
- learning_theory_004.png
- learning_theory_005.png
- learning_theory_006.png
- learning_theory_007.pdf
- learning_theory_007.png
- learning_theory_008.png
- learning_theory_tmp_001.png
- learning_theory_tmp_002.png
- learning_theory_tmp_003.png
- learning_theory_tmp_004.pdf
- learning_theory_tmp_004.png
- logreg_001.png
- logreg_002.png
- logreg_003.png
- logreg_004.png
- pca_001.png
- pca_002.png
- pca_003.png
- pca_004.png
- pca_005.png
- pca_006.png
- pca_008.png
- pca_009.png
- python_machine_learning_modules_001.png
- python_machine_learning_modules_002.pdf
- python_machine_learning_modules_002.png
- python_machine_learning_modules_003.png
- python_machine_learning_modules_004.png
- python_machine_learning_modules_005.png
- regularization_001.png
- regularization_002.png
- regularization_003.png
- regularization_004.png
- svm_001.png
- svm_002.png
- svm_003.png
- svm_004.png
- svm_005.png
- svm_drawing.vsd
- clustering.ipynb
- decision_trees.ipynb
- ensemble.ipynb
- learning_theory.ipynb
- logreg.ipynb
- pca.ipynb
- README.md
- regularization.ipynb
- svm.ipynb
- Conditional_expectation_MSE_001.png
- Conditional_expectation_MSE_002.png
- Conditional_expectation_MSE_Ex_005.png
- Conditional_expectation_MSE_Ex_006.png
- information_entropy_003.png
- intro_001.jpg
- intro_001.pdf
- NineBall_01.jpg
- NineBall_02.jpg
- probability_001.png
- probability_002.png
- probability_003.png
- ProbabilityInequalities_001.png
- ProbabilityInequalities_002.png
- ProbabilityInequalities_003.png
- ProbabilityInequalities_004.png
- Sampling_Monte_Carlo_000.png
- Sampling_Monte_Carlo_0001.png
- Sampling_Monte_Carlo_005.png
- Sampling_Monte_Carlo_007.png
- Sampling_Monte_Carlo_008.png
- Sampling_Monte_Carlo_009.png
- Sampling_Monte_Carlo_010.png
- Sampling_Monte_Carlo_011.png
- Brzexample.ipynb
- MomentGeneratingFunction.ipynb
- ProbabilityInequalities.ipynb
- Sampling_Monte_Carlo.ipynb
- Conditional_expectation_MSE.ipynb
- Conditional_expectation_MSE_Ex.ipynb
- Conditional_Expectation_Projection.ipynb
- Information_Entropy.ipynb
- intro.ipynb
- moment_generating.ipynb
- ProbabilityInequalities.ipynb
- projection.ipynb
- README.md
- Sampling_Monte_Carlo.ipynb
- README.md
- Bootstrap_001.png
- Bootstrap_002.png
- Confidence_Intervals_001.png
- Confidence_Intervals_002.png
- Confidence_Intervals_003.png
- Confidence_Intervals_004.png
- Confidence_Intervals_005.png
- Confidence_Intervals_006.png
- Convergence_001.png
- Convergence_002.png
- curse_of_dimensionality_001.png
- curse_of_dimensionality_002.png
- Gauss_Markov_001.png
- Gauss_Markov_002.png
- Hypothesis_Testing_001.png
- Hypothesis_Testing_002.png
- Hypothesis_Testing_003.png
- Hypothesis_Testing_004.png
- MAP_001.png
- MAP_002.png
- MAP_003.png
- Maximum_likelihood_0001.png
- Maximum_likelihood_10_2.png
- Maximum_likelihood_20_2.png
- Maximum_likelihood_30_2.png
- nonparametric_001.png
- nonparametric_002.png
- nonparametric_003.png
- nonparametric_004.png
- nonparametric_005.png
- nonparametric_006.png
- Regression_001.png
- Regression_002.png
- Regression_003.png
- Regression_004.png
- Regression_005.png
- Regression_006.png
- Regression_007.png
- Robust_Statistics_0001.png
- Robust_Statistics_0002.png
- Robust_Statistics_001.png
- Robust_Statistics_002.png
- Robust_Statistics_003.png
- Robust_Statistics_004.png
- Robust_Statistics_005.png
- Robust_Statistics_006.png
- Robust_Statistics_007.png
- Robust_Statistics_008.png
- Robust_Statistics_009.png
- Robust_Statistics_010.png
- Bootstrap.ipynb
- Confidence_Intervals.ipynb
- Convergence.ipynb
- Curse_of_dimensionality.ipynb
- DeltaMethod.ipynb
- Gauss_Markov.ipynb
- Hypothesis_Testing.ipynb
- intro.ipynb
- kernel_regression.py
- Maximum_likelihood.ipynb
- maximum_posteriori.ipynb
- Nonparametric.ipynb
- README.md
- Regression.ipynb
- Robust_Statistics.ipynb
- conda_packages.txt
- LICENSE
- python_for_probability_statistics_and_machine_learning.jpg
- python_for_probability_statistics_and_machine_learning.png
- README.md
// repository documentation
Was this content helpful?
(0 ratings)
