I would like to create a basic pattern recognition project in Matlab or Python, on MoviesLens 100k Dataset. For this project I specifically want to:
1. Apply the sequential clustering basic scheme to estimate the number of user groups, based on their preferences.
2. Based on the assessment of Step 2, apply the algorithm k-means and the hierarchical clustering algorithm. You will need to decide on the details of the algorithms and document your assumptions.
3. Using the 5-fold shape provided, design, implement and evaluate two classifiers that solve the following problem: if a user and a movie are given, the classifier decides whether the user saw the movie (class 1) or not (class 2). One classifier will be a neural network and the other least squares.
Thank you very much for your time, and looking forward to work with you :)
15 freelancers are bidding on average $67 for this job
Hi ... I am expert in writing and have done this type of work before I will provide you a quality work on time according to your requirement kindly consider my proposal
I already have worked on Movielens data and have hand on experience in Clustering algorithms apart from this I had a project on recommendation system too that is kind off related to your project.