Build a serverless ML algorhytms for user engagement predictions
€1500-3000 EUR
착불
We need to build a solution that will calculate:
- The probability of a user opening a message over the next 7 days
- The probability of a user clicking a link within a message over the next 7 days
- The probability of a user opting out of messaging over the next 7 days
- The expected page views a user will generate over the next 30 days
- The expected order value if a purchase occurs in the next week
- The probability of a user making a purchase over the next 1, 7, or 30 days
- The total revenue from all predicted purchases over the next 30 or 365 days
The solution should utilize AWS serverless services, so we would not need to manage servers.
The solution should be multi-tennant as we have several thousands of customers that would use this.
Example data set will be provided.
IMPORTANT:
- you need to describe the tech stack / architecture in your proposal, or you wont be accepted
- you need to describe the costs of running the solution, or for eg. 10000 predictions
프로젝트 ID: #33727896
프로젝트 소개
이 일자리에 대한 프리랜서 34 명의 평균 입찰가: €2618
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Hi, there. I can provide you the desired ML solutions. This project needs to build 3 pipelines. 1. Data pipeline * How much historical data can you provide? * The model accuracy highly depends on the data size and qua 기타
Based on the dataset you've I'm thinking to build a predictive machine learning model that is able to use past data to train and can predict the listed attributes. However, dataset is very crucial in these type of proj 기타
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav 기타
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Hi there, ★★★ Machine Learning (ML) / Python / C++ Expert ★★★ 10+ Years of Experience ★★★ I've read requirements and ready to build a serverless ML algorhytms for user engagement predictions. We are a team of professi 기타
Hi, I am sure that I can do this job I'm machine learning engineer experienced in data science and Python programming. Feel free to contact me for further details. Thanks
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