Introduction to PandasAI : Generative AI for data analysis || PandasAI tutorial
Generative AI is advancing rapidly into our lives. We see numerous tools and technologies being developed using generative ai (like ChatGPT) that enhances our work
Recently, a new library came into popularity, that combines the data exploration and analysis of Pandas with conversational capabilities of generative AI
One could generate plots, perform data processing, impute missing values, generate analysis on dataframes and other structured data using simple text based conversational commands
Learn more about PandasAI in this tutorial and explore the magic
[Note: The library is still under development and is currently not very accurate with open source models]
References:
PandasAI documentation: https://docs.pandas-ai.com/en/latest/
Notebook: https://colab.research.google.com/dri...
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Additionally, here are few more useful resources for beginners and curious data enthusiasts
1. kaggle: a platform to learn, practice, compete and win cash prizes [https://www.kaggle.com/]
2. paperswithcode: website presenting the latest in machine learning and data science research and the code implementations [https://paperswithcode.com/]
3. google colab: a platform to run code, build machine learning solutions, explore the capabilities of GPU and TPU without any hassle in setting up the environment: [https://colab.research.google.com/]
Remember, "the greatest investment ever made is investment in self growth and learning"