Gold-Price-Prediction

1) Find the suitable dataset for predecting.

2) Applying data preprocessing to find whether dataset contain any null values.

3) visualization of features from dataset using scatter matrix.

4) splitting the data into training and testing using train_test_split.

5) Trainig the random forest regresser with training data.

6) Measuring the performance using evaluation metrics i.e Root square error.