I have two datasets based on weather data.The x values are on green colour and y values on red colour.So,can anyone findout the relational expression between 1 y value and all x values by using machine learning algorithms.If yes then please provide me the code or tell the process.The datasets are attached with question.
Dear Souvik Panda
These links might be resourceful, have a look:
1. https://r4ds.had.co.nz/relational-data.html
2. https://towardsdatascience.com/a-quick-guide-to-relational-algebra-operators-in-dbms-1ff2ddecaad7
3. https://towardsdatascience.com/the-ultimate-guide-to-relational-operators-in-r-6d8489d9d947
Kind Regards
Qamar Ul Islam
When x and y are linear, the least square method (y = a0 + a1 * x) is used
The new square method (y = a0 + a1 * x ^ k) is used when x and y are nonlinear
You can fit various ML algorithms and use model interpretability packages such as LIME post that
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