Ads click through rate prediction model

Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

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Ads click through rate prediction model #748

Open AkhilYadavPadala opened 1 month ago

AkhilYadavPadala commented 1 month ago

Ads Click Through Rate is the ratio of how many users clicked on your ad to how many users viewed your ad. For example, 5 out of 100 users click on the ad while watching a youtube video. So, in this case, the CTR of the youtube ad will be 5%. Analyzing the click-through rate help companies in finding the best ad for their target audience.

Could you assign me this issue with GSSoC tag? @Niketkumardheeryan @invigorzz313

invigorzz313 commented 1 month ago

This issue has been assigned. Do follow the project guidelines for the PR. Create a new branch for every PR and avoid committing from master branch.