Predicting-House-Prices-using-scikit-learn

Predicting USA house / real estate prices using Linear Regression (via scikit-learn)

Approach:

• load Pandas DataFrame containing housing data retrieved.
• do some simple data exploration / visualisation
• remove non-numeric data.
• split the data in train and test sets (+ normalise independent variables where required)
• fit the model
• evaluate estimator performance

Packages required

• Python 3.7.0
• Matplotlib
• Pandas
• Numpy
• scikit-learn
• seaborn

Scatter plot - Predicted prices vs. True price

Note

The data set I have used is virtually created and is not actual. So the prices may not reflect as real.