mGalarnyk / Dse210_probability_statistics_python
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
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DSE210_Probability_Statistics_Python
Looks best on google chrome. Probability and Statistics Using Python: Data Science Masters Course (DSE 210). Highly similar to UCSD's "CSE 250B. Principles of Artificial Intelligence: Learning Algorithms" course. Most of the early portions of the class are worksheet based, but the later portions are mostly in ipython notebook (numpy, sklearn, pandas).
[Hypothesis testing](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/10_Hypothesis_Testing.ipynb) (1, 2, 6, 7, 8, 9, 10) [Sampling](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/9_Sampling.ipynb) (1, 3, 5, 8, 9, 10, 11) [Matrix factorization](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/8_Matrix_Factorization.ipynb) # 1,2,3,4 (PCA Projection, python),5 (PCA Projection, python) [Clustering](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/7_Clustering.ipynb) [Generative models 2](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/6_Generative_Models_number_9-FINAL.ipynb) Gaussian Classifier [Generative models 1](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/5_Generative_Models_I_Class_Generators.ipynb) (object oriented, next up is pandas and sql) [Random variable, expectation, and variance](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/4_RandomVariable_Expectation_Variance.ipynb) (1,2,3,6,7a,7c,8,12) [Multiple events, conditioning, and independence](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/3_Multiple_events_%20conditioning_and_independence.ipynb) (1,2,3,5,6,10,15a,16) [Probability spaces](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/2_Probability_spaces.ipynb) (1a,1b,1e,2,3,4a,5,6,7,14,16) [Sets and counting](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/1_Sets_and_Counting_mGalarnyk.ipynb) (1,2,3,4,5,6) IPython Notebooks for Assignments (From Newest to Oldest)
[Hypothesis testing](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet10Hypothesis_testing.pdf) (1, 2, 6, 7, 8, 9, 10) [Sampling](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet9Sampling.pdf) (1, 3, 5, 8, 9, 10, 11) [Matrix factorization](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet8Matrix_factorization.pdf) (1,2,3,4,5) [Clustering](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet7Clustering.pdf) (all) [Generative models 2](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet6GenerativeModels2.pdf) (#9 python based Gaussian Classifier) [Generative models 1](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet5Generative_models_1.pdf) (all) [Random variable, expectation, and variance](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet4Random_variable_expectation_and_variance.pdf) (1,2,3,6,7a,7c,8,12) [Multiple events, conditioning, and independence](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet3_Multiple_events_%20conditioning_and_independence.pdf) (1,2,3,5,6,10,15a,16) [Probability spaces](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet2_Probability_spaces.pdf) (1a,1b,1e,2,3,4a,5,6,7,14,16) [Sets and counting](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/worksheets/worksheet1_Sets_and_counting.pdf) (1,2,3,4,5,6) Worksheets (From Newest to Oldest)
[K-Means, PCA, and Dendrogram on the Animals with Attributes Dataset](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/K-Means%2C%20PCA%2C%20and%20Dendrogram%20on%20the%20Animals%20with%20Attributes%20Dataset.ipynb) Other (Iris Dataset plus other scratch worksheet) [Iris Dataset](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/IRIS%20data%20set.ipynb) [Scratch stats problems](https://github.com/mGalarnyk/DSE210_Probability_Statistics_Python/blob/master/Other_worksheet.pdf)
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