In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets. This course is the final course in the Python Data Products for Predictive Analytics Specialization, building on the previous three courses (Basic Data Processing and Visualization, Design Thinking and Predictive Analytics for Data Products, and Meaningful Predictive Modeling). At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
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This course is more about Reccommender Systems than deployment of models. Actually, there's just a few classes about model deployment, but no practical exercises. However, the Reccommender Systems classes are good for beginners. The teachers are good as well.
Deployment was not even taught. misleading title, underwhelming content.
The course was really good. I thought it is related with flask or django, but only introduction was given and they didn't teach flask. The name of the course should be "building recommendation systems" in my opinion.
The course is very good, but the evaluation process is terrible, it depends on someone that can evaluate your project.
Topics are hastily rushed. Recommender system is complex and need more in depth teaching.
You need to find a dataset to answer final capstone project which can be hard to find to fulfill the grading criteria
nada que ver con el título que venden
really a good one, i learn a lot with the proyects
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Good
good
I Liked the Course in general especially the recommender component. I would seriously recommend making major improvements and clarification to the capstone project.
A good course on deploying your ML product.
Overall, a good course.
Some of the questions in the quizzes were not so useful in my opinion.
The first three courses of this specialization were better.
There seem to be not so many participants, so peer grading can take much time.
It was not what I expected. Sorry my mistake
Eu achei um pouco superficial.
Awful course, garbage content and no any peers to check your work
Not so helpful