Build a Movie Recommendation System using Machine Learning


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About this session

Great Learning brings you this live session on “How To Build A Movie Recommendation System Using Python”. A recommendation system is a popular application of Machine Learning. As the name suggests, this machine learning algorithm makes the relevant suggestion to users. One such popular application of the movie recommendation system is Netflix. In this particular session, we will understand the fundamentals of recommendation systems. Then we will learn about the types of recommendations, including user-based collaborative filtering and item-based collaborative filtering. Finally, we will take the MovieLens dataset and apply collaborative filtering techniques using Python as it has some inbuilt libraries which can be used for this purpose. This is going to be an interactive live session wherein the instructor will answer all your doubts and queries related to the topic.

About the Speaker

Mr. Bharani Akella

Data Scientist, Great Learning


Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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