H2O AutoML
H2O AutoML is one of the popular AI tools for data science beginners. This platform leverages a web GUI, R, or Python to train an AI model and save you time. Manual code writing is not mandatory for this tool. You can also enhance the performance of its ML models.
Features
- Set a baseline for scientific applications or research
- ML models can be generated and enhanced
- No manual coding needed
Pros
- Good analytical and prediction AI tool
- No code machine learning platform
Cons
- Model interpretability needs more work
- Users may find difficulty in understanding why a model makes a particular prediction
Pricing
- It is an open-source platform
Visit site: H2O AutoML
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