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How To Learn Python For Data Science?

Pickl AI

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

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Decoding METAR Data: Insights from the Ocean Protocol Data Challenge

Ocean Protocol

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create. By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split.

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The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

Mlearning.ai

Figure 4: Google Trends website In this case, we are going to use to search car brand such as Kia, Mitsubishi, Peugeot, Fuso, Chery, MG and GAC Motor in some countries in South America such as Argentina, Bolivia, Chile, Colombia, and Peru, between 01–01–2021 and 31–12–2022. Finally, it will show us the data.

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Forecasting Carbon Emission Across Continents Research & Data Challenge Review

Ocean Protocol

Here we use data science to diagnose the issues and propose better practices to treat our planet better than the last 30 years. Exploratory Data Analysis (EDA) In Asia, the surge in CO2 and GHG emissions is closely linked to rapid population growth, industrialization, and the rise of emerging economies.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

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How I cleared AWS Machine Learning Specialty with three weeks of preparation (I will burst some…

Mlearning.ai

How I cleared AWS Machine Learning Specialty with three weeks of preparation (I will burst some myths of the online exam) How I prepared for the test, my emotional journey during preparation, and my actual exam experience Certified AWS ML Specialty Badge source Introduction:- I recently gave and cleared AWS ML certification on 29th Dec 2022.