Relax—a cheat sheet is not really cheating. It's a checklist to make sure you stay focused before, during, and after the interview. Creating a cheat sheet will help you feel more prepared and confident. You shouldn't memorize what's on the sheet or check it off during the interview. You should use your cheat sheet to remind you of key facts. Here are some questions you should prepare to ask during your interview. A cheat sheet; Snowflake data warehouse platform: A cheat sheet (free PDF). 'Questions from data science candidates.
Introduction
This is a completely open-source platform for maintaining curated list of interview questions and answers for people looking and preparing for data science opportunities.
This blog provides the solutions of various coding interview questions hosted at leetcode, interviewbit, geeksforgeeks, etc. And introduction about machine learning and data science Data Science & Machine Learning Cheat Sheet Coding Interview Questions With Solutions. A cheat sheet for a Data Science job interview Prepare for a Data Science job interview: soft skills, tech skills, job description, Github projects, LinkedIn profile. Przemek Chojecki. Contribute to dinskutty/Data-Science-Cheat-Sheet development by creating an account on GitHub.
Not only this, the platform will also serve as one point destination for all your needs like tutorials, online materials, etc.
This platform is maintained by you! 🤗 You can help us by answering/ improving existing questions as well as by sharing any new questions that you faced during your interviews.
Contribute to the platform
Contribution in any form will be deeply appreciated. 🙏
Add questions
❓ Add your questions here. Please ensure to provide a detailed description to allow your fellow contributors to understand your questions and answer them to your satisfaction.
🤝 Please note that as of now, you cannot directly add a question via a pull request. This will help us to maintain the quality of the content for you.
Python For Data Science Cheat Sheet
Add answers/topics
📝 These are the answers/topics that need your help at the moment
- Add documentation for the project
- Online Material for Learning
- Suggested Learning Paths
- Cheat Sheets
- Django
- Flask
- Numpy
- Pandas
- PySpark
- Python
- RegEx
- SQL
- NLP Interview Questions
- Add python common DSA interview questions
- Add Major ML topics
- Linear Regression
- Logistic Regression
- SVM
- Random Forest
- Gradient boosting
- PCA
- Collaborative Filtering
- K-means clustering
- kNN
- ARIMA
- Neural Networks
- Decision Trees
- Overfitting, Underfitting
- Unbalanced, Skewed data
- Activation functions relu/ leaky relu
- Normalization
- DBSCAN
- Normal Distribution
- Precision, Recall
- Loss Function MAE, RMSE
- Add Pandas questions
- Add NumPy questions
- Add TensorFlow questions
- Add PyTorch questions
- Add list of learning resources
Report/Solve Issues
🔧 To report any issues find me on LinkedIn or raise an issue on GitHub.
🛠 You can also solve existing issues on GitHub and create a pull request.
Say Thanks
😊 If this platform helped you in any way, it would be great if you could share it with others.
You can also star the repository on GitHub and watch-out for any updates
Features
🎨 Beautiful: The design is built on top of most popular libraries like MkDocs and material which allows the platform to be responsive and to work on all sorts of devices – from mobile phones to wide-screens. The underlying fluid layout will always adapt perfectly to the available screen space.
🧐 Searchable: almost magically, all the content on the website is searchable without any further ado. The built-in search – server-less – is fast and accurate in responses to any of the queries.
🙌 Accessible:
- Easy to use: 👌 The website is hosted on github-pages and is free and open to use to over 40 million users of GitHub in 100+ countries.
- Easy to contribute: 🤝 The website embodies the concept of collaboration to the latter. Allowing anyone to add/improve the content. To make contributing easy, everything is written in MarkDown and then compiled to beautiful html.
Setup
No setup is required for usage of the platform Download adobe distiller cs6 mac.
Important:It is strongly advised to use virtual environment and not change anything in gh-pages
Linux Systems
Windows Systems
To install the latest
Useful Commands
mkdocs serve- Start the live-reloading docs server.mkdocs build- Build the documentation site.mkdocs -h- Print help message and exit.mkdocs gh-deploy- Usemkdocs gh-deploy --helpto get a full list of options available for thegh-deploycommand. Be aware that you will not be able to review the built site before it is pushed to GitHub. Therefore, you may want to verify any changes you make to the docs beforehand by using thebuildorservecommands and reviewing the built files locally.mkdocs new [dir-name]- Create a new project.
Useful Documents
📑 MkDocs:
- GitHub: https://github.com/mkdocs/mkdocs
- Documentation: https://www.mkdocs.org/
🎨 Theme:
- GitHub: https://github.com/squidfunk/mkdocs-material
- Documentation: https://squidfunk.github.io/mkdocs-material/getting-started/
FAQ
Can I filter questions based on companies? 🤪
As much as this platform aims to help you with your interview preparation, it is not a short-cut to crack one. Think of this platform as a practicing field to help you sharpen your skills for your interview processes. However, for your convenience we have sorted all the questions by topics for you. 🤓
This doesn't mean that such feature won't be added in the future. 'Never say Never'
But as of now there is neither plan nor data to do so. 😢
Why is this platform free? 🤗
Currently there is no major cost involved in maintaining this platform other than time and effort that is put in by every contributor. If you want to help you can contribute here.
If you still want to pay for something that is free, we would request you to donate it to a charity of your choice instead. 😇
Credits
Maintained by
👨🎓 Kuldeep Singh Sidhu
Github: github/singhsidhukuldeephttps://github.com/singhsidhukuldeep
Website: Kuldeep Singh Sidhu (Website)http://kuldeepsinghsidhu.com
LinkedIn: Kuldeep Singh Sidhu (LinkedIn)https://www.linkedin.com/in/singhsidhukuldeep/
Data Science Cheat Sheet
Contributors
😎 The full list of all the contributors is available here
Science Cheat Sheet Pdf
Current Status