Portfolio Week 4: Machine Learning

In this exercise, I will be writing a python programs that will introduce you to the basics of machine learning.

Machine learn is pattern recognition and theory computers can learn data without being programmed to perform specific tasks.

In this first program, I will be plotting a random sample of data involving the weights and heights of a group of 18 years old students.

Finding the mean, median and standard deviation of the data above.

Using Linear Regression to find the best fit line and make a simple prediction

Plotting the graphs of real- life advertising data

Using Linear Regression to predict predicted sales given TV expenditure with the use of "Scikit-learn" library to learn.

In this experience, I learn that machine learning can really help in business. It can predict the sales of the business easily or finding out the best solution to advertise their products.

After this exercise, I realised a lot of websites online are using machine learning too. One of the example is ASOS, they predict customers size of shirts/pants according to the past customers purchased.