Chennai house price prediction using matplotlib in Python
This Python machine learning model is used to predict the price of house using various factors such as no.of.rooms, no.of.bathrooms, no.of.halls and also the size of the area in sqft.
step 1 - we import the data set and the libarys such as NumPy and pandas
step 2 - now we scale the inputs to a smaller values because the models require small intger to process faster
step 3- now we instert a dummy variale in the ones column
step 4- we import the matplot lib libary and plot the data set in a graph
step 5 - now we slipt the datas into input and output as area is taken and input and proce as output in our model
step 6- we create a thetha matrix and compute the error function
step 7 - we create a linear model and use different hyper parametrs such as learning rate
step8- we now plot our model graph and see the error in graph using matplot lib
step 9- the accuracy is been calculated and the prediction function is been called
step 10- we print the predicted values for the given input
Project Files
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