Ai & Machine Learning

AI in Scientific Research Specialization

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Coursera

By learning how to analyze health data and sequence genomes using AI, this course equips students with the tools they need to contribute to medical research.

Key AI Functions:

random forest,artificial intelligence,data science,artificial neural network,machine learning,ai & machine learning

Description for AI in Scientific Research Specialization

  • Python for Data Science: Introduces the Python programming language for data science applications, incorporating modules for dataset analysis and a classification model to forecast heart disease based on health data.
  • The Machine Learning Pipeline: It comprises the complete ML process, including data preprocessing, implementation of fundamental and sophisticated algorithms, culminating in a final project that evaluates ML models using Python.
  • Advanced AI Techniques: Assesses complicated AI models beyond fundamental methods, employing a project to forecast patient similarities utilizing random forests.

  • Capstone Genome Project: Delivers a conclusive project on genome sequence analysis to pinpoint possible therapeutic targets for COVID-19 mutations.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by LearnQuest

Duration: 1 month at 10 hours a week (approximately)

Schedule: Project-based

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