Brianna Garland

Lab 8

Lab 8A: Examples

Able to successfully install numpy scipy scikit-learn matplotlib pandas tensorflow and keras on my pi
I ran the given commands and all of the given graphs and their corresponding commands are below
- - python code
  - histograms, boxp lots, regression, and classification graphs, cross validation, keras, TensorFlow, and finally the titanic example.

python3 pyplot_simple.py

python3 simple_plot.py

python3 pyplot_formatstr.py

python3 ticklabels_demo_rotation.py

python3 pyplot_three.py

python3 pyplot_two_subplots.py

python3 pyplot_scales.py

python3 pyplot_annotate.py

python3 major_minor_demo1.py

python3 legend_demo.py

python3 scatter_demo.py

python3 histogram_demo_features.py

python3 pyplot_text.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 histogram_demo_extended.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 boxplot_demo.py

python3 linreg.py

python3 interpolation.py

python3 plot_lda.py

python3 plot_lda_qda.py

python3 plot_cv_predict.py

python3 plot_cv_diabetes.py

python3 titanic_1.py

python3 titanic_2.py

Lab 8B: Data Analysis

For this part of the lab I was able to use the Data I gathered in the previous lab an produce graphs using the given commands and python files, The resulting graphs and their commands are provided below

python3 plt_final.py

python3 plt_cv2.py

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