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https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
https://github.com/yalai92/master_academic_projects
automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost
Last synced: 8 days ago
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This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
- Host: GitHub
- URL: https://github.com/yalai92/master_academic_projects
- Owner: Yalai92
- Created: 2024-06-12T15:09:07.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-09-16T17:12:56.000Z (4 months ago)
- Last Synced: 2024-11-19T12:26:50.055Z (2 months ago)
- Topics: automation, clustering, data-merging, google-colab, jupyter-notebook, machine-learning, matplotlib, numpy, pandas, powerbi, python, sklearn, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 23.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Academic Projects - Master in Data Science
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI.
The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
## Projects
* 🧹 | **Data cleaning & preprocessing**
- P01_DATA_CLEANING: **BMW Dataset**
* 🏆 | **CAPSTONE**
- CAPSTONE_DSMarket: **DS Market - Retail Company**
*(currently under development)*
## Tools
* 📓 | Notebooks: **Google Collab, Jupyter Notebook, VisualStudio Code**
* 📊 | Visualization: **PowerBI & Tableau Public**
* 🛢️ | SQL: **SQLite, PostgreSQL**
* 🐍 | Python: **Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn**