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10 Cheat Sheets You Need To Ace Data Science Interview

KDnuggets

The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

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How to Convert Jupyter Notebook into ML Web App?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models.

ML 367
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Supercharge your skill set with 9 free machine learning courses

Data Science Dojo

Machine learning courses are not just a buzzword anymore; they are reshaping the careers of many people who want their breakthrough in tech. From revolutionizing healthcare and finance to propelling us towards autonomous systems and intelligent robots, the transformative impact of machine learning knows no bounds.

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5 ways to use AI and machine learning in dataops

Flipboard

Data wrangling, dataops, data prep, data integration—whatever your organization calls it, managing the operations to integrate and cleanse data is …

DataOps 180
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5 Upcoming Python Libraries You Don’t Want to Miss in 2023

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a popular and influential programming language used in various applications, from web development to data wrangling and scientific computing.

Python 329
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Navigate your way to success – Top 10 data science careers to pursue in 2023

Data Science Dojo

Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders. They require strong programming skills, knowledge of statistical analysis, and expertise in machine learning.

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State of Machine Learning Survey Results Part One

ODSC - Open Data Science

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.