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https://github.com/hasnainyaqub/portfolio
A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.
https://github.com/hasnainyaqub/portfolio
ai data-science deep-learning eda fastapi flask machine-learning pandas plotly powerbi python pytorch scikit-learn scipy sql tableau tensorflow
Last synced: 2 days ago
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A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.
- Host: GitHub
- URL: https://github.com/hasnainyaqub/portfolio
- Owner: hasnainyaqub
- Created: 2024-11-28T04:15:35.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-02-18T12:38:06.000Z (3 days ago)
- Last Synced: 2025-02-18T13:21:29.629Z (3 days ago)
- Topics: ai, data-science, deep-learning, eda, fastapi, flask, machine-learning, pandas, plotly, powerbi, python, pytorch, scikit-learn, scipy, sql, tableau, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.18 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Portfolio Repository
## About Me
Hi, I am Hasnain Yaqoob! I am currently learning Data Science from [Codanics.com](https://codanics.com) as part of a **6-months of Data Science and AI Mentorship Program**. This program covers a wide range of topics, including:
- **Python**
- **Pandas** (EDA, data preprocessing, cleaning, integration, transformation, reduction, discretization, outlier handling, encoding, feature engineering, etc.)
- **NumPy**
- **Data Visualization**: Seaborn, Matplotlib (plt)
- **Machine Learning & Deep Learning**: Scikit-learn, PyTorch, TensorFlow
- **Time Series Analysis & Generative AI**
- **Web Frameworks**: Flask, FastAPI
- **Databases**: SQL
- **Business Intelligence**: Power BI, Tableau
## Repository Overview
This repository contains various Jupyter Notebooks related to data science and exploratory data analysis (EDA). Each notebook focuses on different datasets and analysis techniques:
### Notebooks Included:
1. **15 Important Plots in Plotly** - A collection of key visualizations in Plotly.
2. **E-commerce Data Analysis** - EDA on an e-commerce dataset.
3. **Google Play Store Analysis** - Insights from Google Play Store app data.
4. **Population of Pakistan (1998) EDA** - Population analysis of Pakistan.
5. **Apple Products Analysis** - Pricing, ratings, and trend analysis of Apple products.
6. **Car Data Analysis** - Exploratory analysis of car-related data.
7. **Intro to NumPy** - Basics of NumPy for numerical computing.
## How to Use
To run the notebooks:
1. Clone the repository:
```bash
git clone https://github.com/your-username/Portfolio.git
```
2. Install dependencies:
```bash
pip install pandas numpy matplotlib seaborn plotly scikit-learn tensorflow torch flask fastapi
```
3. Open Jupyter Notebook and explore the files:
```bash
jupyter notebook
```
## Contributions
Feel free to fork the repository and contribute by submitting pull requests!
## License
This project is open-source and available under the MIT License.
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