Streamlit
Streamlit is one of the top AI tools for data science ideal for learners to use. It is a Python-driven AI tool that can create a shareable web app with provided data scripts. It offers an open-source app framework for data and prediction analysis.
Features
- Open-source library
- Quick building and deployment of data applications
- Custom web app creation for all kinds of industrial data
- Report generation and dashboard view
Pros
- Simple syntax is easy for beginners to learn
- Fast prototyping and web app creation
- Collaboration and interactive visualization features
Cons
- Limited customization capabilities for complex web apps
- Relatively new in the field may lack mature features
Pricing
- Community cloud deployment is free.
- It is an open-source platform.
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Which AI Tools are Recommended for Data Science Beginners?
Data, in this modern age, is the new oil. According to Clive Humby, it is of no use when it is unrefined. Analyzing data can reveal many new things about almost anything. It can be related to healthcare, technology, marketing, finance, or any industry. You name it and discover how data analysis is changing the game.
Data science beginners learn how to harness the potential of a vast data set by using specific tools. These days, Artificial Intelligence (AI) has revolutionized the way we see data. Such tools can see the unseen by doing predictive analysis, sentiment analysis, fraud detection, recommendation systems, and decision-making insights.
For beginners, learning how to extract information from data becomes a lot easier with certain AI tools. Let us take a quick look into ten such free AI tools for data science for beginners.
10 Best AI Tools for Data Science Beginners
- Jupyter Notebook
- Google Colab
- AutoGluon
- DataRobot
- Streamlit
- TensorFlow Playground
- Kaggle Learn
- Vertex AI from Google
- Google Cloud
- H2O AutoML