Python 4-cast

Create python code to create a prediction model from a training dataset...then use the model to create a prediction from a new dataset. You choose what algorithm should give the best forecast. Details of instructions follow: Data file is attached. Please develop a forecast model using the data in tab “Train” in the attached file. Column B – “CF”: This is electricity output from a wind farm, the target variable we would like to predict (Y). Column C to DJ: These are Wind Speed from different locations (X). You can use all of them as model inputs, or filter these variables using variable selection technique Model test metrics: MAE Goal: Please predict electricity output (column B – “CF”) on tab “Predict”. Please show in your Python code: feature engineering, training/test split, model training, model testing, output MAE of test data, plot predictions vs actuals in test