This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this course, we'll learn about the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms. We'll start with data preprocessing techniques, such as PCA and LDA. Then, we'll dive into the fundamental AI algorithms: SVMs and K-means clustering. Along the way, we'll build our mathematical and programming toolbox to prepare ourselves to work with more complicated models. Finally, we'll explored advanced methods such as random forests and neural networks. Throughout the way, we'll be using medical and astronomical datasets. In the final project, we'll apply our skills to compare different machine learning models in Python.
This course is part of the AI for Scientific Research Specialization
Offered By

About this Course
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Flexible deadlines
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Shareable Certificate
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Course 2 of 4 in the
Intermediate Level
Some basic Python knowledge
Approx. 11 hours to complete
English
What you will learn
Implement and evaluate machine learning models (neural networks, random forests, etc.) on scientific data in Python
Skills you will gain
- Artificial Neural Network
- Machine Learning
- Python Programming
- Random Forest
- PCA
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 4 in the
Intermediate Level
Some basic Python knowledge
Approx. 11 hours to complete
English
Offered by
Syllabus - What you will learn from this course
2 hours to complete
Before the AI: Preparing and Preprocessing Data
2 hours to complete
12 videos (Total 47 min), 4 readings, 2 quizzes
4 hours to complete
Foundational AI Algorithms: K-Means and SVM
4 hours to complete
4 videos (Total 13 min), 3 readings, 3 quizzes
4 hours to complete
Advanced AI: Neural Networks and Decision Trees
4 hours to complete
1 video (Total 1 min), 4 readings, 2 quizzes
2 hours to complete
Course Project
2 hours to complete
Reviews
- 5 stars40%
- 4 stars10%
- 3 stars40%
- 2 stars10%
TOP REVIEWS FROM MACHINE LEARNING MODELS IN SCIENCE
by RJJul 7, 2022
I would have had more stars, but a couple of the programming assignments had different values for random used for the answer and not what was listed in the question.
About the AI for Scientific Research Specialization

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