# Rakesh9100/ML-Project-Drug-Review-Dataset

<https://repo.masters-masters.com/en/repos/Rakesh9100/ML-Project-Drug-Review-Dataset>

[Home](https://repo.masters-masters.com/en) › [Rakesh9100](https://repo.masters-masters.com/en/owners/Rakesh9100) › [ML-Project-Drug-Review-Dataset](https://repo.masters-masters.com/en/repos/Rakesh9100/ML-Project-Drug-Review-Dataset)

Rakesh9100/ML-Project-Drug-Review-Dataset has 107 stars on GitHub. Its RepoMasters card: Prototype tier. This is an innovative machine learning project that…

| Field | Value |
| --- | --- |
| Owner | [Rakesh9100](https://repo.masters-masters.com/en/owners/Rakesh9100) |
| Stars | 107 |
| Forks | 122 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | machine-learning, drug-database, model, project, python, hacktoberfest, gssoc2023, open-source, open-source-development, open-source-project |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Rakesh9100/ML-Project-Drug-Review-Dataset](https://github.com/Rakesh9100/ML-Project-Drug-Review-Dataset) |

## Repository

This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.

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.