🔥 Level up your TechLabs Project 🔥

Hey Techie, nice to see you! 🙂 This repository should assist you in various questions concerning the project phase within the TechLabs journey.

What does the repository contain?

📂Data Sources
🧭Best Practices
💡Example Projects
❓Help
❗Further Resources

Best Practices

streamlit

Streamlit is a nice and easy way to give your project a nice and intuitive interface without having to know anything about Frontend WebDev! Simply install the streamlit Python package and get started!

Here is a small introduction into Streamlit and how to set it up.

Help

• You want to use Google Colab for your project? Quick Guide to set up Google Colab
• You want to use Git and GitHub for your project? Quick Guide to set up Git
• Which algorithm is most suitable for your project? Machine Learning Map

Further Resources

If you are interested in learning more about Data Science and Machine Learning, here are some good and helpful resources to dive deeper:

• Kaggle: Introduction to Machine Learning: A nice and handy course on Machine Learning, with good explanations and simple tasks
• Kaggle: Feature Engineering: A short, 5 hour course on Feature Engineering. Here, you will learn some techniques on how to decide for different features.
• Kaggle: Data Visualization: A crucial skill of a Data Scientist is the ability to visualize data in the best way possible. This small course teaches you different visualization techniques and lets you experiment with them.
• Leetcode: Arrays 101: This is a more advanced course, which helps you understand and use a crucial backbone of modern computing - arrays.
• Leetcode: SQL Course: SQL is another important technology for Data Scientists. This course teaches you the basics of SQL and how to use it to obtain data from relational databases.