This notebook provides a case study for a simple linear regression. With a dataset containing several output records of a solar farm and temperature measurements. We are building a model which is able to predict the daily output with a temperature value as input. This is an excellent case study as it represents a real world problem and includes some data preparation in advance.
Clone the repository to your local machine
git clone https://github.com/ErwinSchleier/simple_linear_regression.git
I recommend to create a virtual environment with the python library virtualenv or anaconda.
Install all required pip libraries
pip install -r requirements.txt
Start jupyter notebook inside the repository direction
jupyter notebook