DataRobot
DataRobot is one of the best AI tools for data science for newbie engineers. This AI tool offers the ideal outcomes as per your data set analysis requirements. Users enjoy full visibility and governance over the AI landscape. This tool also evolves with the needs of a user to offer accurate outcomes.
Features
- Use case library for quick deployment
- AI accelerators for accurate outcomes
- Generative and Predictive AI platform
Pros
- No code application builder
- Platform integrations
- AI asset governance
Cons
- Might be complex for beginners
- Manual modeling flexibility is low
Pricing
- It offers a free trial period.
- Essentials: Pricing on request
- Business Critical: Pricing on request
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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