AI in Scientific Research Specialization
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.
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 LearnQuestDuration: 1 month at 10 hours a week (approximately)
Schedule: Project-based
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