Machine learning
Final Class Project is for 200 Points + Bonus, Submission Due Date. • • • • • • Reading :-https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ https://machinelearningmastery.com/visualize-machine-learning-data-python-pandas/ Wine Dataset : https://scikit-learn.org/stable/datasets/toy_dataset.html#wine-dataset Wine Dataset: https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data 3-D visualization : https://machinelearningmastery.com/principal-component-analysis-forvisualization/ 1) A-F; Using the Wine Dataset : Implement the following Plots as DashBoard Analytics in VR scene. (90 points) 2-D Histogram Plot of first 4 Variables (a) 2-D scatter Plots of Variables 5-8. (b) 2-D Box-Whisket Plots Variables 9 to 12 (c) Correlation Matrix of first 6 Variables (d) Descriptive Statistics/ Statistical Summary of first 6 Variables (e) Scatter plot of Two PCA Principal Components (f) 2) In continuation on the Floor of the VR Space. Display the 3-D plots of (a) 3-D Bar plots of first 6 variables on the Floor (see below figure, imagine the inclination view angle downwards to your right at 45 degrees. [30 points] (b) 3-D scatter plot of first two PCA Components (see below for example). [30 points] 3) I would like to use a ball to bounce off from the Dashboard Analytics Wall when I throw. I should be able to try to catch it. Even if it misses the ball should always appear in my hand after 2 seconds. [ 50 points] 4) Bonus :– Show the impact of ball bounce on the wall with a ‘press-stress’ feature on the space of Dashboard. [ 20 points]
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