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Top 5 Free Machine Learning Courses
Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.
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The Complete Collection of Data Science Cheat Sheets – Part 1
A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.
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Deploying a Streamlit WebApp to Heroku using DAGsHub
Transform your machine learning models into a web app and share them with your friends and colleagues.
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Learn Machine Learning 4X Faster by Participating in Competitions
Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.
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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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