[D] Which Machine Learning algorithm is better to use for Google Ads data?
Hi, I’m trying to adjust bids(Max. CPC) of products, advertised on google ads, based on their past performance like Clicks, Impressions, Conversions, Product Price, etc. Google provides those data in CSV format. Now I want to utilize those data for bidding intelligently instead of using Smart Bidding feature provided by Google itself. Is there any good Machine Learning algorithm that can be used for such a case. Or, no need to use any ML algorithm here? Or, any better idea that can be applied for this use-case? Thanks in advance.