Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp with 10 Exams
Recommendation engines power much of the content we see online.
This course includes.
Curriculum & lectures.
+ Test Your Knowledge! 1 lecture
+ Challenge Your 10 FREE Practice Exams 1 lecture
+ Default Lesson 2 lectures
+ Build a Video Recommender with Data Mining 5 lectures
About this course.
This course introduces the fundamentals of building a simple video recommender system using Python and NumPy, guiding you through practical workflows in data mining.
✅ Explore dataset preparation and similarity measures
✅ Use NumPy for handling arrays and computations
✅ Build and test basic recommender models
✅ Reinforce concepts with 10 structured exams
By applying methods in a focused use case, you’ll learn transferable skills for personalization systems across domains.
🎁 Human-created tutorials improved with AI, reviewed by human editors and enriched with real-time chat guidance and quizzes that keep you motivated and engaged. Discover how data powers the systems that guide digital experiences.
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Bundled items.
10 coursesExam 10 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 1 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 2 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 3 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 4 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 5 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 6 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeExam 7 - Video Recommender Systems with Python & NumPy: Practical Data Mining Bootcamp
FreeReady to start building?
Recommendation engines power much of the content we see online.