hariprasath-v / Machinehack_forecasting_solar_energy_efficiency

create a model to predict solar energy efficiency based on the measurements of various meteorological parameters over a period of time.

Machinehack_forecasting_solar_energy_efficiency

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• Score :2620.31278

Competition hosted on Machinehack

Problem

create a model to predict solar energy efficiency based on the measurements of various meteorological parameters over a period of time.

Evaluation

Evaluation metric for this competition is Mean Square Error.

Dataset

You can download the dataset here

Solution:

Exploratory Data Analysis

The basic exploratory data analysis of the data,

• Numerical Distribution Analysis
• Correlation Analysis
• Stationary Analysis

The above analysis had done by using,

• pandas
• numpy
• seaborn
• matplotlib
• statemodels

Model

Trained each target label separately by using pycaret tool and the model was evaluated with an MSE score.

Final model was blended from the top 3 performing models.

File information

machinehack-forecasting-solarenergy-efficiency-eda.ipynb

mh-forecasting-solarenergy-efficiency-model.ipynb