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Introduction to PandasAI : Generative AI for data analysis || PandasAI tutorial
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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:
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Why learn #datascience ??
"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #transition into #datascience , #machinelearning, #dataanalysis, this is a place for you
Everyone of us use social media platforms such as instagram, facebook, or binge watch on OTT platforms such as #youtube , netflix, prime, hotstar or window shop on e-commerce sites such as amazon, flipkart, myntra
It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others
However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science
--------------------------------------------------------------------------------------------------------------------------------------
Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
--------------------------------------------------------------------------------------------------------------------------------------
Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"
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:
----------------------------------------------------------------------------------------------------------------
Why learn #datascience ??
"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #transition into #datascience , #machinelearning, #dataanalysis, this is a place for you
Everyone of us use social media platforms such as instagram, facebook, or binge watch on OTT platforms such as #youtube , netflix, prime, hotstar or window shop on e-commerce sites such as amazon, flipkart, myntra
It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others
However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science
--------------------------------------------------------------------------------------------------------------------------------------
Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
--------------------------------------------------------------------------------------------------------------------------------------
Additionally, here are few more useful resources for beginners and curious data enthusiasts
Remember, "the greatest investment ever made is investment in self growth and learning"
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