Data Science Projects, Blogs, Ideas, Data
Welcome to the "100 Days of Data Science" repository! This project is designed to help you embark on a 100-day journey to enhance your skills in data science. Whether you are a beginner looking to get started or an experienced data scientist wanting to further hone your abilities, this challenge is for you.
Data science is a dynamic field that combines statistics, programming, and domain knowledge to extract insights and make informed decisions from data. This challenge aims to provide a structured approach for anyone interested in becoming a proficient data scientist or improving their existing skills.
Throughout the 100 days, you will work on various data science projects, learn new techniques, and build a strong foundation in this field. The repository provides guidelines, resources, and a community of learners to support you on your journey.
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Fork this Repository: Start by forking this repository to your GitHub account.
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Clone Your Fork: Clone your forked repository to your local machine.
git clone https://github.com/your-username/100-Days-of-Data-Science.git
- You can start this challenge at any time.
- You can skip a day if needed, but try to make up for it on another day.
- You are encouraged to work on diverse data science projects, including but not limited to data analysis, machine learning, data visualization, and data cleaning.
- Collaborations and group participation are encouraged.
- Share your knowledge and help others in the community.
- Data Science Learning Resources: A curated list of resources to help you learn and grow as a data scientist.
- Progress Tracker: A template to track your daily progress in the challenge.
- Contributing Guidelines: If you want to contribute to this repository, please read these guidelines.
| Resource | Description |
|---|---|
| EBook: The Creative Side of AI: Mastering the Art of Prompt Engineering | Explore the creative aspects of AI and prompt engineering. |
| Mastering Prompt Engineering: A Free eBook | A free eBook to help you master the art of prompt engineering. |
| A - Z Machine Learning Guide | A comprehensive guide covering machine learning from A to Z. |
| ML CheatSheet | A handy cheat sheet for machine learning concepts. |
| 100 Projects For Beginners Using Python | Discover 100 beginner-friendly Python projects. |
| An Introduction to Prompt Engineering: Key Concepts & Tips For Beginners | Get insights into prompt engineering concepts and tips for beginners. |
We welcome contributions from the data science community! If you have suggestions, improvements, or new resources to add, please follow the Contributing Guidelines.
This repository is licensed under the MIT License. See the LICENSE file for details.
You may also want to have a look at the following projects:
Data Science With Tableau
Data Science In Construction
Data Science In Architecture and Engineering
Data Science For Business
The Essential Guide To Machine Learning Using Tensorflow
Scientific Visualisation: Beyond The Basics
Kaggle Notebooks
100 Days of Artificial Intelligence
Created: February 2022
Updated: