-
Open Data and Why it is Necessary
Open data improves accessibility and encourages universal participation, which allows companies to create cutting-edge, data-driven technologies and make the world a better place.
-
Top Data Science Tools for 2022
Check out this curated collection for new and popular tools to add to your data stack this year.
-
Top 7 YouTube Courses on Data Analytics
Learn data analytics by taking the best YouTube courses. These courses will cover data analysis with Python, R, SQL, PowerBI, Tableau, Excel, and SPSS.
-
The Complete Collection of Data Science Cheat Sheets – Part 2
A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.
-
No Brainer AutoML with AutoXGB
Learn how to train, optimize, and build API with a few lines of code using AutoXGB.
-
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.
-
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.
-
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.
-
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.
-
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.
|