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Week 4-
Using Anaconda for Charts & Machine Learning
Lab 4-2: Introduction to Machine Learning
Program 1: Analyzing the weights and heights of a group of 18 years old students
This exercise uses the graph plotted to obtain the mean, median, standard deviation of the height.
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By calculating the alpha and beta values, the best-fit line can be drawn and we are able to make a prediction of the weight according to the height.
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This is very useful for reliable prediction of data in the real world, with further research on the topic.
Program 2: Analyzing data from an advertising agency in a csv file
The data is extracted from a csv file and used to plot the graphs, as shown above. Afterwhich, it is used to create the regression line and predict the sales of the TV expenditure.
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The use of csv files are very efficient as the program is normalised to fit any csv file with the same attributes.
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