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Machine Learning SEMINAR

Course Duration: Minimum 10 Days
Curriculum Delivery: Online / Offline
Timings & Schedules: Flexible time shift as per the convenience of candidates
Certification Authority: AIT Issued Seminar Completion Certificate
Seminar Index: Seminar Paper Research, Seminar Presentation Training, Documentation, Demo viva Section, PPT Presentation

About The Seminar

ATEES Industrial Training seminar paper involves everything that one needs to be successful in their respective career. The courses are designed to help candidates comprehend the topic and incorporate apt skills in their professional writing. We welcome questions from our candidates on how we can help them with the seminar preparation. In addition, our support team will guide one with seminar topics including quality discussion on the logical idea and technologies involved. The seminar paper is presented in four major sections: Introduction; Background; Analysis; and Conclusion. Each sub-sections will be researched and examined in detail in the subsequent pages.

A subfield of artificial intelligence (AI) and computer science called machine learning focuses on using data and algorithms to simulate how humans learn, gradually increasing the accuracy of the system. The following topics: Why Machine Learning, Machine Learning and its Importance, Algorithm, and Types of Machine Learning, will all be covered in general terms. By examining a few of the presentations that make up the section, you can see how each element interacts with the section as a whole. Using a range of technology-based research techniques, the information is cross-checked after each component of a topic has been defined.

  • Why was created?
  • Features
  • Conclusion

No. Seminar Topics
1 Prediction of the Age and Gender using machine learning and data science (ML+Python+DB Sqlite)
2 Land Price forecasting for real estate using statistical and neural network software(ML+Python+DB Sqlite)
3 Customer Based Mapping of Real Estate Using Data MiningTechniques (ML+Python+DB Sqlite)
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