House-buying-classification-using-Tensorflow

This machine learning code basically decides whether to buy a house or not. It uses one layer perceptron/ feed foreward neural network.

You can replace your data file with data.csv.

To successfully run this code you will need:

  1. tensorflow
  2. pandas
  3. numpy
  4. Jupyter notebook

We can see the power of neural net even though it has one layer and 10 training examples as it predicts 7 correct out of 10 after training. To improve accuracy, we can increase training data, and increase training epochs.