2030 Clustering EDA 
Pickl AI
NOVEMBER 4, 2024
million by 2030, with a staggering revenue CAGR of 44.8%, mastering this language is more crucial than ever. Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn.
The MLOps Blog
DECEMBER 28, 2022
As per a report by McKinsey , AI has the potential to contribute USD 13 trillion to the global economy by 2030. EDA, as it is popularly called, is the pivotal phase of the project where discoveries are made. The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology.
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