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The High Paying Side Hustles for Data Scientists
Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.
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The Best Learning Resources for Data Science in 2022
Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.
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The Story of the Women in Data Science (WiDS) Datathon
The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.
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Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud
Learn model deployment issues and solutions on deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.
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 How to Get Certified as a Data Scientist
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.
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The Common Misconceptions About Machine Learning
Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh. This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.
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Deploying Your First Machine Learning API
Effortless way to develop and deploy your machine learning API using FastAPI and Deta.
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How to Ace Data Science Interview by Working on Portfolio Projects
Recruiters of Data Science professionals around the world focus on portfolio projects rather than resumes and LinkedIn profiles. So, learning early how to contribute and share your work on GitHub, Deepnote, and Kaggle can help you perform your best during data science interviews.
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How to Get Certified as a Data Scientist
Deploying Your First Machine Learning API