Welcome to the Data Science Cheat Sheets repository! This repository serves as a quick reference and revision toolkit for Data Science learners, practitioners, and enthusiasts. It contains a collection of well-organized, concise, and informative cheat sheets across key topics in the data science domain.
This repository includes cheat sheets for:
- 🧮 Statistics & Probability
- 📈 Machine Learning Algorithms
- 🧠 Deep Learning & Neural Networks
- 🐍 Python for Data Science
- 🧰 Pandas, Numpy, and Scikit-learn
- 📊 Data Visualization (Matplotlib, Seaborn, Plotly)
- 🗂️ EDA (Exploratory Data Analysis)
- 🧪 Model Evaluation Metrics
- ☁️ Cloud & MLOps (Basics)
- ⚙️ Tools & Libraries (Jupyter, Git, etc.)
Whether you're preparing for interviews, brushing up for a project, or learning something new, this repo aims to save your time with compact, to-the-point reference materials.
Data-Science-Cheat-Sheets/
├── Statistics_CheatSheet.pdf
├── Machine_Learning_CheatSheet.pdf
├── Deep_Learning_CheatSheet.pdf
├── Python_DataScience_CheatSheet.pdf
├── Pandas_CheatSheet.pdf
├── Numpy_CheatSheet.pdf
├── Scikit_Learn_CheatSheet.pdf
├── Data_Visualization_CheatSheet.pdf
├── EDA_CheatSheet.pdf
├── Model_Evaluation_CheatSheet.pdf
├── MLOps_Basics_CheatSheet.pdf
└── Tools_and_Tips_CheatSheet.pdf
Each PDF is a focused reference guide on the corresponding topic.
- Beginners in Data Science
- Students & College Projects
- Interview Preparation
- Quick Revision for Competitions
- Professionals looking to refresh key concepts
- Clone or download the repository:
git clone https://github.com/sattusaipraneeth/Data-Science-Cheat-Sheets.git
- Open any PDF cheat sheet using your favorite PDF reader.
- Use them as a handy reference while studying, coding, or preparing for interviews.
If you'd like to contribute:
- 📝 Add new cheat sheets
- 💡 Suggest improvements or corrections
- 📎 Share your own reference guides
Feel free to fork this repo and raise a pull request. Contributions are warmly welcome!
These cheat sheets are created, compiled, and maintained by Saipraneeth Sattu to support the data science community and aid efficient learning.
- 🌐 Portfolio Website
- 🧠 Medium
- 💻 GitHub
⭐ If you found this repo useful, please give it a star and share it with your peers!