Data Science Jupyter Notebooks

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🔰 New version of Colab; Data Scientists' Partner
🔃 Major update for Google Colab!

👨🏻‍💻 From now on, you have a real AI assistant inside your notebook, not just a code completion tool!

▶️ This AI assistant is directly integrated inside Colab and Colab Enterprise (within Vertex AI and BigQuery), and it basically acts like a teammate and coding partner.


🤖 What exactly does this AI assistant do for you?

1⃣ It handles the entire workflow by itself!
🏷 You just need to tell it the goal, for example: "Build a model that predicts people's income level based on a BigQuery table." Then it plans a multi-step program, cleans the data, creates features, builds the model, and trains it.

🔢 It writes code for every task!
🏷For example: it can create a chart, manage the cloud environment, perform causal analysis. You just have to ask.

🔢 It finds and fixes errors!
🏷 If a cell throws an error, it explains the cause, provides a corrected version of the code, and even shows a diff so you can approve it.

➖ ➖ ➖

🎯 What is its goal?

✅ Professionals work much faster.

✅ Beginners learn more easily.

✅ The entire data science process from idea to final model becomes faster, cleaner, and less error-prone.

➡️ AI First Colab Notebooks
➡️ AI First Colab Notebooks

🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
https://www.tgoop.com/DataScienceN

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621 viewsNov 22 at 20:55

🔰 New version of Colab; Data Scientists' Partner
🔃 Major update for Google Colab!

👨🏻‍💻 From now on, you have a real AI assistant inside your notebook, not just a code completion tool!

▶️ This AI assistant is directly integrated inside Colab and Colab Enterprise (within Vertex AI and BigQuery), and it basically acts like a teammate and coding partner.


🤖 What exactly does this AI assistant do for you?

1⃣ It handles the entire workflow by itself!
🏷 You just need to tell it the goal, for example: "Build a model that predicts people's income level based on a BigQuery table." Then it plans a multi-step program, cleans the data, creates features, builds the model, and trains it.

🔢 It writes code for every task!
🏷For example: it can create a chart, manage the cloud environment, perform causal analysis. You just have to ask.

🔢 It finds and fixes errors!
🏷 If a cell throws an error, it explains the cause, provides a corrected version of the code, and even shows a diff so you can approve it.

➖ ➖ ➖

🎯 What is its goal?

✅ Professionals work much faster.

✅ Beginners learn more easily.

✅ The entire data science process from idea to final model becomes faster, cleaner, and less error-prone.

➡️ AI First Colab Notebooks
➡️ AI First Colab Notebooks

🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
https://www.tgoop.com/DataScienceN