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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.
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.
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.
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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