You have been engaged as a contract data scientist by Athana Data Science Services $($ADSS$),$ a small company specialising in the provision of data science consultancy services to public and private sector organisations. ADSS have just been awarded a contract by a government department $($the Department of Environment$)$ to help with the development of machine learning$-$based models for predicting atmospheric emissions $($and pollution$)$ from data gathered by various borough and county environment monitoring units. Your team leader wants you to assist with this project, and you will be required to carry out a number of tasks using the Anaconda$/$Scikit$-$Learn Python ML framework and its components.

$1.$ Specify the types of predictive insights you expect to glean from the data in the website below after you have applied random forest model. Your response should be based on actual inspection of the datasets and should be as specific as possible.

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$2.$ Develop a random forest machine learning model using Anaconda$/$Scikit$-$Learn toolkit to work on the datasets available on this website for $2019$ datasets

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$3.$ Assess the performance of the model

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