# rposhala/Recommender-System-on-MovieLens-dataset

<https://repo.masters-masters.com/en/repos/rposhala/Recommender-System-on-MovieLens-dataset>

[Home](https://repo.masters-masters.com/en) › [rposhala](https://repo.masters-masters.com/en/owners/rposhala) › [Recommender-System-on-MovieLens-dataset](https://repo.masters-masters.com/en/repos/rposhala/Recommender-System-on-MovieLens-dataset)

rposhala/Recommender-System-on-MovieLens-dataset has 158 stars on GitHub. Its RepoMasters card: Prototype tier. Knowledge-based, Content-based and…

| Field | Value |
| --- | --- |
| Owner | [rposhala](https://repo.masters-masters.com/en/owners/rposhala) |
| Stars | 158 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [rposhala/Recommender-System-on-MovieLens-dataset](https://github.com/rposhala/Recommender-System-on-MovieLens-dataset) |

## Repository

Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by fitting KNN, SVD & deep learning models which use NLP techniques and NN architecture to suggest movies…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
