Supervised ML project
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Supervised learning is the types of machine learning in which machines are trained using well "labelled" training data, and on basis of that data, machines predict the output. The labelled data means some input data is already tagged with the correct output.
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In supervised learning, the training data provided to the machines work as the supervisor that teaches the machines to predict the output correctly. It applies the same concept as a student learns in the supervision of the teacher.
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Supervised learning is a process of providing input data as well as correct output data to the machine learning model. The aim of a supervised learning algorithm is to find a mapping function to map the input variable(x) with the output variable(y).
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This prediction project is based on LINEAR REGRESSION
- Download the zip file
- Unzip the file to your preferred location
- Open it on Notebook,Spyder or Google Colab
- Insert the .csv file in the IDE's you are using
- Put the correct location of the .csv file
- You are good to go and explore now
