IBM - Machine Learning Capstone
4.3 /5- Offered byCoursera
Machine Learning Capstone at Coursera Overview
Duration | 19 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning Capstone at Coursera Highlights
- Earn a Certificate upon completion
Machine Learning Capstone at Coursera Course details
- Compare and contrast different machine learning algorithms by creating recommender systems in Python
- Develop a final project using machine learning methods and evaluate your peers' projects
- Predict course ratings by training a neural network and constructing regression and classification models
- Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering
- In this Machine Learning Capstone course, you will be using various Python-based machine learning libraries such as Pandas, scikit-learn, Tensorflow/Keras
Machine Learning Capstone at Coursera Curriculum
Capstone Overview
Introduction to Machine Learning Capstone
Intro to Recommender Systems
Exploratory Data Analysis and Feature Engineering
Checkpoints: Exploratory Data Analysis on Online Course Enrollment Data
Graded: Exploratory Data Analysis and Feature Engineering
Unsupervised-Learning Based Recommender System
Content-based Recommender Systems
Checkpoints: Unsupervised-Learning Based Recommender System
Graded: Unsupervised-Learning Based Recommendation Systems
Supervised-Learning Based Recommender Systems
Collaborative Filtering-Based Recommender Systems
Checkpoints: Supervised-Learning Based Recommender Systems
Graded: Supervised-Learning Based Recommendation Methods
Share and Present Your Recommender Systems
Elements Of A Successful Data Findings Report
Best Practices For Presenting Your Findings
Final Submission
Congratulations and Next Steps
Credits and Acknowledgements
Machine Learning Capstone at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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