Pickl AI

NOVEMBER 4, 2024

million by 2030, with a staggering revenue CAGR of 44.8%, mastering this language is more crucial than ever. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn. Additionally, learn about data storage options like Hadoop and NoSQL databases to handle large datasets.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

DECEMBER 16, 2024

billion by 2030. databases, APIs, CSV files). Exploratory Data Analysis (EDA): Conduct EDA to identify trends, seasonal patterns, and correlations within the dataset. This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world.

AI 52

AI AI Machine Learning Machine Learning 52

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.

ML 78

ML ML Data Scientist Machine Learning 78