Recommender System Course
What will I learn?
You want learn how to build system weh can tell people the things dem likely for like? Dis Recommender System Course dey here for teach you! E dey good for people weh sabi tech already and want learn more. You go learn how for clean data, how for fix data weh lossin, and how for change data so e fit work fine. You go use TensorFlow and Python for build strong models, and you go learn bout different ways for recommend things, like collaborative filtering and matrix factorization. You go make sure your models dey work fine by tuning dem and checking how good dem dey. And you go learn how for make people feel good by showing dem things weh dem really want. Join us now, and turn data into something weh can help people!
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Learn how for clean data: Fix data weh dirty, change data so e fit work, and manage data well.
Build models: Use Python, TensorFlow, and Scikit-learn for suggest things.
Make algorithms work fine: Tune the algorithms so dem dey work good and check how dem dey perform.
Make people feel special: Show people things weh dem like and make dem happy.
Look at data: Find patterns and see how things dey change so you can make good decisions.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.