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Recommendation System for Movie Ratings (2 problems need to solve)

Job Description:

Implementation

Implement the Item-based collaborative filtering algorithm (please do not use any off the-shelf libraries for collaborative filtering, the idea is to implement the algorithm yourself)

• Step 1: Use the ratings specified in [login to view URL] file to learn similarity between movies. You can use the correlation coefficient (as given in the slides) or cosine similarity to compute the similarity weights.

• Step 2: For each row in [login to view URL], predict the rating based on a neighborhood of similar movies. Refer to the slides on collaborative filtering for the equation used to compute the predicted rating. You can select any appropriate neighborhood size when making the prediction.

Skills: Machine Learning (ML), Data Processing, Data Science, Algorithm, Python

About the Client:
( 61 reviews ) New Delhi, India

Project ID: #35273452

3 freelancers are bidding on average ₹2100 for this job

Saurabhs2001

Hello there, I am familiar with python more than one year. I will do it within 1 day. reply as soon as possible. Thank you.

₹3000 INR in 1 day
(1 Review)
0.7
chirag20028

Hello i hope you are doing good. I have good experience in machine learning and can definitely solve your problem. I can do the job fast and give my best to solve the problem. If given the chance i will work hard. Hope More

₹1500 INR in 7 days
(0 Reviews)
0.0
muhdnaeem95

Hi there, I am a software developer, with a diploma in Data Science (Data Analytics). I am familiar with Python and Machine Learning, I believe I am able to help you out. Looking forward to hearing from you!

₹1800 INR in 2 days
(0 Reviews)
0.0