felipetufaile / datascience101

Data Science 101

Welcome to the Data Science 101 repository! This repository contains a collection of Jupyter notebooks covering various topics in the field of data science.

Table of Contents

Available:

1. Operations Research: Optmization to solve business problems:
   • Operations Research using Pyomo - v00.ipynb

Future Work:

• Exploratory Data Analysis
• Feature Engineering Techniques
• Time Series Analysis
• Natural Language Processing
• Image Processing and Computer Vision
• Recommender Systems
• Model Evaluation and Validation
• Hypothesis Testing
• Feature Selection

Feel free to explore the notebooks and delve into the world of data science. Each notebook is self-contained, providing explanations, code examples, and interactive visualizations where applicable.

Getting Started

To run the notebooks locally, follow these steps:

1. Clone this repository to your local machine using git clone https://github.com/FelipeTufaile/Misc_DS_Notebooks.git.
2. Ensure you have Jupyter Notebook (or similar) installed.
3. Navigate to the cloned repository on your local machine.
4. Open the desired notebook and enjoy exploring the data science topics.

Contribution Guidelines

If you have any ideas, suggestions for topics, or improvements, feel free to contribute!

License

This repository is licensed under the MIT License.

Happy learning and happy coding!