Kaggle Learn
Kaggle Learn is one of the top AI tools for data science beginners who prefer to use Python and develop data manipulation skills. Users can also elevate their machine learning skills from beginner to intermediate level on this platform. They can visualize data with their coding knowledge.
Features
- No coding experience is needed for data science
- Learn Python and SQL from scratch
- Deep learning introduction
- API integration
- No stress on GPU requirements
Pros
- Keras and TensorFlow integration
- Data cleaning
- AI ethics learning
Cons
- Predictive analysis is not present
- Issues with computational power
Pricing
- It is an open-source platform to learn data science.
Visit site: Kaggle Learn
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