# ashishpatel26/Amazing-Feature-Engineering

<https://repo.masters-masters.com/en/repos/ashishpatel26/Amazing-Feature-Engineering>

[Home](https://repo.masters-masters.com/en) › [ashishpatel26](https://repo.masters-masters.com/en/owners/ashishpatel26) › [Amazing-Feature-Engineering](https://repo.masters-masters.com/en/repos/ashishpatel26/Amazing-Feature-Engineering)

ashishpatel26/Amazing-Feature-Engineering has 807 stars on GitHub. Its RepoMasters card: Beta tier. Feature engineering is the process of using domain…

| Field | Value |
| --- | --- |
| Owner | [ashishpatel26](https://repo.masters-masters.com/en/owners/ashishpatel26) |
| Stars | 807 |
| Forks | 273 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Topics | feature-engineering, machine-learning, deep-learning, scikit-learn, data-mining, data-science, data-scientists, feature-scaling, feature-extraction, feature-selection |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ashishpatel26/Amazing-Feature-Engineering](https://github.com/ashishpatel26/Amazing-Feature-Engineering) |

## Repository

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by ashishpatel26

- [ashishpatel26/500-AI-Agents-Projects · ★ 39,260 · Python · LTS](https://repo.masters-masters.com/en/repos/ashishpatel26/500-AI-Agents-Projects)
- [ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code · ★ 37,606 · LTS](https://repo.masters-masters.com/en/repos/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code)
- [ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network · ★ 5,413 · Stable](https://repo.masters-masters.com/en/repos/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network)
- [ashishpatel26/Andrew-NG-Notes · ★ 3,847 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/ashishpatel26/Andrew-NG-Notes)
- [ashishpatel26/LLM-Finetuning · ★ 2,994 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/ashishpatel26/LLM-Finetuning)
- [ashishpatel26/Treasure-of-Transformers · ★ 1,186 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/ashishpatel26/Treasure-of-Transformers)

## Nearby in Jupyter Notebook

- [DataScienceResearchPeru/OpenSource-RoadMap-DataScience · ★ 808 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/DataScienceResearchPeru/OpenSource-RoadMap-DataScience)
- [SanDiegoMachineLearning/bookclub · ★ 807 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/SanDiegoMachineLearning/bookclub)
- [megvii-research/IJCAI2023-CoNR · ★ 807 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/megvii-research/IJCAI2023-CoNR)
- [kohpangwei/influence-release · ★ 806 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/kohpangwei/influence-release)
- [msurtsukov/neural-ode · ★ 806 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/msurtsukov/neural-ode)

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