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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.
MIT License
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Web Pattern Navigation Profiling for Online Marketing Campaigns #332

Open Niketkumardheeryan opened 2 years ago

Niketkumardheeryan commented 2 years ago

In today’s digital era, it is merely impossible for a majority of the population to perform their day-to-day activities without using the internet. This internet usage has opened up a lot of possibilities in product promotion and also in offering services. But with billions of people surfing the internet, it is important to target the right customer for your product promotions or to provide a solution based on their needs. The best strategy to understand the users’ behavior is by analyzing their online-navigation pattern. With Web-mining techniques, you can extract quality information related to the users’ interest and their needs.

This AI-based project aims to provide quality data through web pattern navigation profiling to tailor efficient online marketing campaigns.

paritoshtripathi935 commented 2 years ago

@Niketkumardheeryan please assign this issue to me, i am a GSSOC contributor

Rutikab12 commented 2 years ago

@paritoshtripathi935 go for it.

paritoshtripathi935 commented 2 years ago

thanks @Rutikab12

anushka7220 commented 2 months ago

@Niketkumardheeryan @Rutikab12 I am interested in working on this AI-based project focused on web pattern navigation profiling to enhance online marketing campaigns. Could you please assign this issue to me? I am a GSSOC'24 contributer and I have previously worked on project like this , have a look on this ppt https://docs.google.com/presentation/d/1XqTt392cLF-ALmtvrKscFf3YQJMbfbyu2TyoNOkDr1w/edit#slide=id.g2704694f159_0_471

  1. I will do it by collecting data using web scrapper tool like beautifulsoup and integrate the Google Analytics API with Python to extract this data.
  2. then I will preprocess it and extract relevant features.
  3. I will apply ml algo like clustering , classification and SPMF etc;
  4. then I am gonna use tensorflow to tarin the model as i am a tensorflow developer.
  5. at the end deploy using flask.