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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

Kemahiran: Python, Kejuruteraan Perisian, Machine Learning (ML)

Tentang Majikan:
( 1 ulasan ) Houston, United States

ID Projek: #28944462

8 pekerja bebas membida secara purata $427 untuk pekerjaan ini


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$400 USD dalam 5 hari
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Hey I am interested in this project. I have done [login to view URL] in electrical engineering but my current work is related to data science with R/python. I have worked on wind data before to predict speed of wind with time serie Lagi

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