Importing csv files instead of using load_house_data

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

In the C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln instead of using:

load the dataset

X_train, y_train = load_house_data()
X_features = [‘size(sqft)’,‘bedrooms’,‘floors’,‘age’]

if i want to load data from a csv file, what changes will I have to make in the code?

2

Perhaps this would be helpful:

3

If I have data in houseprice.csv (containing around 1000 examples) instead of the 4 examples given in the lab exercise, and I import the dataset using pd.read_csv('houseprice.csv') into the Jupyter notebook, what changes do I need to make in the existing lab code to ensure that the rest of the code works correctly?

4

If the only difference is in the number of examples, then ideally you would not need to make any changes, because the code hopefully will automatically use all of the data.