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In this liveProject, you’ll design a movie recommendation system step by step, from initial development all the way to a production-ready system. You’ll begin with preparing the data, then you’ll analyze the data, and finally, you’ll preprocess and export it. Along the way, you’ll gain a firm understanding of the data and your users, which is key for developing a system that makes appropriate recommendations. While this liveProject doesn’t contain any machine learning, going through these steps will prepare you for feature engineering and hyperparameter tuning later on.
This liveProject is for data scientists who are familiar with recommender systems and want to take the next step in their career. To begin these liveProjects you will need to be familiar with the following:
In this liveProject, you’ll learn to clean and parse data, analyze the dataset, and translate free-text to pre-trained embeddings using NLP models:
geekle is based on a wordle clone.