movie,music & books recommendation using data science

Closed Posted 3 years ago Paid on delivery
Closed Paid on delivery

Hii freelancers hope you are doing good

coming to the project it should be able to recommend movie,music,books for user in a single platform for example if user searches for harry potter the book,music and the movies related to it should be recommended ,user can search for anything he want project should be able to analyse and give him desired output . python and r languages can be used for this and no restriction for the datasets expecting a freelancer who can maintain remarkable quality .

Python Data Processing Data Mining Machine Learning (ML)

Project ID: #26960124

About the project

6 proposals Remote project Active 3 years ago

6 freelancers are bidding on average ₹4667 for this job

pranay2835

I am well experienced in Machine Learning and Deep Learning and I feel I will be able to complete your project with ease within the given time frame. I can complete the above mentioned task using Collaborative Filterin More

₹5000 INR in 7 days
(1 Review)
1.8
kuldeep14326

I HAVE 1 YEAR EXPERIENCE IN DATA ENTRY WORK I AM DOING MY WORK RIGHT TIME I HAVE A HAVEY TYPING SPEED ANY ONE INTERESTED MY FROFILE YOUR MOST WELCOME

₹4000 INR in 7 days
(0 Reviews)
0.0
saideep123

I have experience in working on recommended Systems I hope I can solve the problem posed by you.I am a research student working in Data Analytics center IIIT HYDERABAD.

₹4000 INR in 7 days
(0 Reviews)
0.0
avnaditya

Hello! just saw your requirements, I just wanted to tell you that we have a pre-defined model for recommendation system which was build from Netflix data. The same can be used but with a small minor changes to your p More

₹5000 INR in 7 days
(0 Reviews)
0.0
harshsinha3682

Completely gone through your project description, and could deliver you the best result. I have 4+ years of experience in python and 2+ years of experience in machine learning, deep learning, NLP, and Artificial Intell More

₹4000 INR in 7 days
(0 Reviews)
0.0