Have you ever questioned how Netflix makes recommendations for movies based on the ones you’ve already seen? Or how can choices like “Frequently Bought Together” appear on an e-commerce website? Although they may appear to be straightforward choices, a sophisticated statistical method is used to forecast these suggestions. Recommendation engines, recommendation systems, and recommender systems are all terms used to describe these systems. A recommender system is one of the most well-known uses of data science and machine learning. But how do you build a movie recommendation system?
The answer is in this 60 min Virtual Lab using the kandi 1-click solution kit. You will have a working model at the end of the session!
Complete this Virtual Lab in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.
NOTE: Your start date is the date you enrolled for this course. You have 90 days from your enrollment date to complete the course.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on Movie Recommendation System with Pandas. This includes an understanding of Python language; an IDE like jupyter or PyCharm to write Python code and essential libraries like pandas, numpy to build your own Movie Recommendation System with Pandas.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the movie recommendation system kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the movie recommendation system kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
After completing this step, proceed to STEP 3.
STEP 3 : ASSESSMENT
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi!