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..
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images
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Section0_1-IPython_and_Jupyter.ipynb
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Section0_2-Plotting-and-Visualization.ipynb
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Section1_1-Univariate-and-Multivariate-Optimization.ipynb
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Section1_2-Combinatorial-Optimization.ipynb
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Section2_1-Introduction-to-Pandas.ipynb
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Section2_2-Pandas-Fundamentals.ipynb
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Section3_1-Expectation-Maximization.ipynb
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Section3_2-Bootstrapping.ipynb
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Section3_3-High-Performance-Python.ipynb
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Section4_1-Bayesian-Computation.ipynb
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Section4_10-Bayesian-Workflow.ipynb
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Section4_2-MCMC.ipynb
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Section4_3-Introduction-to-PyMC.ipynb
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Section4_4-Hamiltonian-Monte-Carlo.ipynb
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Section4_5-Model-Building-with-PyMC.ipynb
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Section4_6-Model-Checking.ipynb
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Section4_7-Multilevel-Modeling.ipynb
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Section4_8-Introduction-to-Variational-Bayesian-Methods.ipynb
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Section4_9-Model-Comparison.ipynb
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Section5_1-Gaussian-Processes.ipynb
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Section6_1-Scikit-Learn.ipynb
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Section6_2-Clustering.ipynb
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Section6_3-Model-Selection-and-Validation.ipynb
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Section6_4-Support-Vector-Machines.ipynb
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Section6_5-Decision-Trees.ipynb
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Section6_6-Boosting.ipynb
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Section6_7-Machine-Learning-Visualization.ipynb
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Section7_1-Neural-Networks.ipynb
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Section7_2-Introduction-to-PyTorch.ipynb
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Section7_3-Bayesian-Neural-Networks.ipynb
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Section7_4-Parallel-Processing.ipynb
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Section7_5-Database-Programming.ipynb
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load_covid_data.py
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prep.py
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