This LinkedIn Learning course on building recommendation systems using Python 3.5, pandas, and numpy offers valuable, hands-on experience. Emphasizing project-based learning, it guides programmers in constructing recommendation systems that drive customer interaction on modern consumer websites. The course's use of free and open-source tools ensures accessibility, and the practical skills acquired can be directly applied to personal projects, making it an excellent resource for programmers seeking real-world, machine learning applications.
Machine Learning and AI Foundations: Recommendations
With Adam Geitgey
Liked by 2,995 users
Duration: 58m
Skill level: Intermediate
Released: 4/10/2017
Course details
This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations. In this course, Adam Geitgey walks you through a hands-on lab building a recommendation system that is able to suggest similar products to customers based on past products they have reviewed or purchased. The system can also identify which products are similar to each other.
Recommendation systems are a key part of almost every modern consumer website. The systems help drive customer interaction and sales by helping customers discover products and services they might not ever find themselves. The course uses the free, open source tools Python 3.5, pandas, and numpy. By the end of the course, you'll be equipped to use machine learning yourself to solve recommendation problems. What you learn can then be directly applied to your own projects.
Recommendation systems are a key part of almost every modern consumer website. The systems help drive customer interaction and sales by helping customers discover products and services they might not ever find themselves. The course uses the free, open source tools Python 3.5, pandas, and numpy. By the end of the course, you'll be equipped to use machine learning yourself to solve recommendation problems. What you learn can then be directly applied to your own projects.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Bharat Dhungana
Bharat Dhungana
Physicist | Aspiring Data Analyst | Enthusiastic | Technology Geek | Traveller | Bookworm | Social Activist | Influencer | Learner
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Aaron Acierno
Aaron Acierno
Research and Development Engineer at Los Alamos National Laboratory
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 8 quizzes
- Learn on the go Access on tablet and phone