ML supervised algorithm : Linear Regression

Datasets used: computers.csv and cars93.csv

*In computers.csv file , we want to predict the repair time of reqired in minutes for different units of computer.

dataset description: columns:=['units','minutes']

Accuracy attained: 92.2%

*In second dataset i.e. ,cars93.csv we want predict the length of wheelbase of cars.

dataset description: columns:=[col.no', 'Manufacturer', 'Model', 'Type', 'Min.Price', 'Price', 'Max.Price', 'MPG.city', 'MPG.highway', 'AirBags', 'DriveTrain', 'Cylinders', 'EngineSize', 'Horsepower', 'RPM', 'Rev.per.mile', 'Man.trans.avail', 'Fuel.tank.capacity', 'Passengers', 'Length', 'Wheelbase', 'Width', 'Turn.circle', 'Rear.seat.room', 'Luggage.room', 'Weight', 'Origin', 'Make'], dtype='object'

Accuracy attained: 60.8%