Hi, I have a raw data set related to youtube trending videos. I want to train some models in R to predict if a certain video will pass a certain viewcount (maybe 2Mil) using predictors such as, rate of growth in likes, comments, views per day, video tags, length, etc. At the end, my goal is to compare the models using a confusion matrix, and also identify the top predictors. This is a faily simple project for an R pro, so please don't post very high estimates, this will help me identify the actual pros :) Please reply to me with what you think are best suited models for this kind of prediction, this will be considered when I select a person.
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Hello sir I have an engineering degree in statistical analysis and machine learning I have more than 9 years of professional experience in r programming language I m waiting for good news My best regards
Hello, I'm very interested in your project. I have good experience with Prediction and Statistics but I have no experience with R. I can implement your project with python. What about? Regards.