Welcome to machine learning with Python in this course you'll learn how machine learning is used in many key fields and industries for example in the
👉 healthcare industry data scientists use machine learning to predict whether a human cell that is believed to be at risk of developing cancer is either benign or malignant as such machine learning can play a key role in determining a person's health and welfare you'll also learn about the value of decision trees and how building a good decision tree from historical data helps doctors to prescribe the proper medicine for each of their patients
👉How bankers use machine learning to make decisions on whether to approve loan applications
👉How to use machine learning to do bank customer segmentation where it is not usually easy to run for huge volumes of varied data
👉How machine learning helps websites such as YouTube Amazon or Netflix develop recommendations to their customers about various products or services such as which movies they might be interested in going to see or which books to buy there is so much that you can do with machine learning.
👉 how to use popular Python libraries to build your model for example given an automobile data set we can use the scikit-learn library to estimate the co2 emission of cars using their engine size or cylinders we can even predict what the co2 emissions will be for a car that hasn't even been produced yet and we'll see how the telecommunications industries can predict customer churn .
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