Lab 8: Data Analysis

Install SciPy, Matplotlib, pandas, dependencies, NumPy, scikit-learn, TensorFlow, and Keras on Raspberry Pi

$ sudo apt update

$ sudo apt install python3-scipy

$ sudo apt install python3-matplotlib

$ sudo apt install python3-pandas

$ sudo apt install libopenblas-dev

$ sudo apt install libatlas-base-dev

$ sudo pip3 install -U numpy

$ sudo pip3 install --only-binary :all: -U scikit-learn

$ sudo pip3 install -U tensorflow

$ sudo pip3 install -U keras

Generate graphs using the following programs

$ cd ~/iot/lesson8

$ 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

Part B: Data Analysis

Histograms, box plots, regression, and classification

$ python3 scatter_demo.py

$ python3 histogram_demo_features.py

$ python3 pyplot_text.py

$ python3 histogram_demo_extended.py

$ python3 boxplot_demo.py

$ python3 linreg.py

$ python3 interpolation.py

$ python3 plot_lda.py

$ python3 plot_lda_qda.py

$ python3 plt_final.py

Cross-validation

$ python3 plt_cv2.py

$ python3 plot_cv_predict.py

$ python3 plot_cv_diabetes.py

Keras and TensorFlow

$ python3 keras_diabetes.py

$ python3 keras_first_network.py

Titanic example

$ cp train.csv ~/demo

$ cp test.csv ~/demo

$ cp titanic_1.py ~/demo

$ cp titanic_2.py ~/demo

$ cd ~/demo

$ python3 titanic_1.py

$ python3 titanic_2.py

Unfortunately due to my raspberry pi having issues uninstalling wrapt it would not run these programs.

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