Interview-Practice-DS

Welcome to this data science interview repository.

This repository is meant to be used with GitHub Codespaces. To start using this repository:

1. Connect to your GitHub account.
2. Click Use this template, then click Open in a codespace.
3. You should accept to download the Python extension for Visual Studio Code.
4. When choosing the kernel, you should choose feedgy-ds-repo-template-NK18vZRh-py3.10.

In this repository, you will find a dataset of 15-minute time series data from 3 solar plants. The columns of the dataset are as follows:

• mpppt_id: ID of the mpppt (a group of panels in the power plant)
• date: Date
• power: Power produced by the mpppt
• voltage: Voltage of the mpppt
• current: Current of the mpppt
• poa_global: Light received by the panels
• temperature_ambiante: Ambient temperature
• pressure: Ground pressure
• wind_speed: Ground wind speed
• rainfall: Amount of rain
• snowfall: Amount of snow
• snow_depth: Amount of snow on the ground
• global_horizontal_irradiance: Light received from above by a surface horizontal to the ground
• clear_sky_global_horizontal_irradiance: Light received from above by a surface horizontal to the ground if no clouds
• farm: Solar farm name
• mppt_config: Concatenation of tilt and azimuth of an mppt. For the same farm, if two mppts are in the same mppt_config, they should produce the same power

During the interview, you will be asked to access data, understand it, clean it, and build a regression model.