$1)$ Using data.csv$,$ develop a random forest prediction model that predicts whether a smartphone user will download an App. For reference, use link to lecture video. It is advised that you practice all steps before starting work on this assignment.

Variable in data.csv$$file$.$

V$1$: ip address of click.

V$2$: app id for marketing.

V$3$: device type id of user mobile phone $($e$.$g$.,$ iphone $6$ plus, iphone $7,$ huawei mate $7,$ etc.$)$

V$4$: os version id of user mobile phone

V$5$: channel id of mobile ad publisher

V$6$: timestamp of click $($UTC$)$

V$7$: if user download the app after clicking an ad$,$ this is the time of the app download

V$8$: the target that is to be predicted, indicating the app was downloaded

V$1$ to V$5$ are coded.

Use $50$:$50$ split with set.seed$(555)$

$2)$ Deliverable: You$$ll need to create and $$knit$$ a R Markdown file that includes your r code chunks, output and your commentary and responses. Upload the output in a word or PDF format to the course website. The file should be about $10$ pages in length.