That took some effort but congrats, you did it! Now that you’ve build a movie recommender with us, you’re more than prepared to build your unique recommender.
Find a similar dataset (it could be movies, or something completely new, here’s a few data sources), and apply the same steps, modifying only the dataset’s details as needed.
🏆 Bonus points for modifying the algorithm and/or building a hybrid recommender!
Need help? Our community is here for you!
When you’re finished with you wizard work, submit your work in Google Colab with us.
Submit your .txt file with us, which you can easily download using Google Colab and attaching it on the following link.
Make sure it’s viewable by anyone with the link, otherwise the submission will be dismissed.
Phew! Proud of your work? So are we! Share it with everyone on Aptitude Community!
Most coders like to store their code projects in Github, for easier access and display to other people.
We suggest you to do the same with your recommender.
Here’s how:
Step 1: Create a GitHub account
To create a GitHub account, go to github.com and click on the "Sign up" button located on the top right corner of the page. Fill in the required information, including your username, email, and password. Once you've completed the form, click the "Create account" button at the bottom of the page.
Step 2: Create a new repository
Once you have signed in to your GitHub account, click on the"+" icon on the top right corner of the page and select "New repository." Give your repository a name, a brief description, and make sure it is set to "Public" or "Private," depending on your preference. Click "Create repository" to create the new repository.
Step 3: Upload your Jupyter notebook
Now that you have created your repository, it's time to upload your Jupyter notebook. You could download it from Google Colab with and ipynb extension. To upload it to Github, click on the "Add file" button and select "Upload files" from the dropdown menu. Select your Jupyter notebook file from your computer and drag it into the box or browse for it by clicking on the "Choose your files" button. Once you have selected your file, click the "Commit changes" button to upload it to your repository.
Step 4: Test your notebook
To make sure your notebook is working properly, you can click on the file in your repository and open it in GitHub's integrated Jupyter Notebook viewer. If you want to make any changes, you can click on the pencil icon to edit the file directly in GitHub.
Congratulations, let's talk about how to go deeper if you're ready to continue.
