AD-Click Predicition

₹15,000.00
Statement:

A key technology behind search advertising is to predict the click-through rate (pCTR) of ads, as the economic model behind search advertising requires pCTR values to rank ads and to price clicks.
Given the training instances derived from session logs of the Tencent proprietary search engine, soso.com, participants are expected to accurately predict the pCTR of ads in the testing instances.

  • Data Type
    1. csv files
    2. Both text and integer values
    3. Training Data

      • QueryId_tokensid.txt (id query_toks1|query_toks2|query_toks3|…)
      • PurchaseId_tokensid.txt (id Purchase_toks1|Purchase_toks2|…)
      • TitleId_tokensid.txt (id Title_toks1|Title_toks2|Title_toks3|…)
      • DescriptionId_tokensid.txt (id Description_toks1|Description_toks2|…)
      • UserId_tokensid.txt (UserId, gender{0,1,2}, age)
    4. Test data set
      The testing dataset shares the same format as the training dataset, except for the counts of ad impressions and ad clicks that are needed for computing the empirical CTR.
  • Data Size: 700 MB

Key Points:

  1. Validity of this course is 240 days( i.e Starts from the date of your registration to this course)
  2. Expert Guidance, we will try to answer your queries in atmost 24hours
  3. 10+ machine learning algorithms will be taught in this course.
  4. No prerequisites– we will teach every thing from basics ( we just expect you to know basic programming)
  5.  Python for Data science is part of the course curriculum.

 

Target Audience:

We are building our course content and teaching methodology to cater to the needs to students at various levels of expertise and varying background skills. This course can be taken by anyone with a working knowledge of a modern programming language like C/C++/Java/Python. We expect the average student to spend at least 5 hours a week over a 6 month period amounting to a 145+ hours of effort. More the effort, better the results. Here is a list of customers who would benefit from our course:

    1. Undergrad (BS/BTech/BE) students in engineering and science.
    2. Grad(MS/MTech/ME/MCA) students in engineering and science.
    3. Working professionals: Software engineers, Business analysts, Product managers, Program managers, Managers, Startup teams building ML products/services.

Course Features

  • Lectures 238
  • Quizzes 0
  • Duration 100+ hours
  • Skill level All levels
  • Language English
  • Students 2
  • Assessments Yes
QUALIFICATION: Masters from IISC Bangalore PROFESSIONAL EXPIERENCE: 9+ years of Experience( Yahoo Labs, Matherix Labs Co-founder and Amazon)
₹15,000.00

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