AutoGluon
AutoGluon is a comprehensive AI tool kit for working on data science and deep learning. It is one of the beginner-friendly AI tools for data science that allows quick prototyping without needing expert knowledge. Users can customize its UI features for metrics, processing, and models.
Features
- Build machine learning solutions from scratch
- Pre-built containers and cloud predictors for easy deployment
- Customizable processing, metrics, and modeling features
Pros
- API integration
- AutoGluon community for the vast support
- Software version available for popular operating systems
Cons
- Consumes resources more than other AI tools
- This platform is computationally intensive due to its experimental features
Pricing
- No proper information.
Visit site: AutoGluon
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