@capeandcode Agreed 100%
When you work on your liking projects which is gonna makes impact on real world, you will never feel tiring while doing it also taking sleep gets difficult at that time. π
I worked on a project continuosly for 48 hours and completed it that time my sleep was gone.
@Sukriti_Macker I liked it!
Starting with AND table then the meaning of some terms after that explaining with example.
Which makes the explanation easy for anyone to understand the Decision Tree.
Thanks for sharing :)
Recommended read for someone who are machine learning and data science enthusiast and spend time with the Twitter community.
This article summaries the paper by twitter on what challenges they faced in displaying the cropped image in the post.
https://t.co/eeGczVU5tQ
I try to write about some points that should be know to data science aspirants. That got published by Geekculture.
Feedbacks are always welcome!
Take a look belowπ
https://t.co/5TUGOXbnsI
@PiyalBanik Yes, I would like to add one, which is recommended for data science aspirants in their journey.
10. Storytelling with Data: A Data Visualization Guide for Business Professionals
Awesome book helps you to present your insights from data to the world.
https://t.co/Q9mu1LGuuY
A simple hack to see which companies, countries or business sectors are going to do well, keenly observe where the smartest people are moving to.
Wealth follows them.
Finally, someone said it. π―
'Time is the most valuable asset. Enjoy your 20s and 30s by both working hard and playing hard. Feel the satisfaction of hitting milestones.'
Most importantly, don't undermine your achievements because someone's success looks different than yours. π
@KeyBarreto@svpino Seaborn was build on top of Matplotlib. And makes it easy to make plots in less code.
However I started my journey with Matplotlib then Seaborn. π
@svpino Yes, definitely.
These are important packages and recommended for any beginner.
After exploring these there are lots of packages or tool to do your machine learning prediction, classification, etc
But recommended to start with @scikit_learn.
π You're invited to our super fun, beginner-friendly learning challenge, #30daysofML. First 2 weeks: rapidly cover essential machine learning skills. Last 2 weeks: join others in an invite-only, low pressure Kaggle competition. Sign up now, starts Aug 2! https://t.co/ydmrocGXss
There are more platforms like Select * SQL, SQLBolt, SQLZoo, etc.
I found the above three are helpful in my journey. You will find W3 on top if you forget any clause syntax.
#DataAnalytics
Found some resources to start with SQL, sharing with others :)
HackerRank: https://t.co/nYNRzOho0v
W3 Schools: https://t.co/LK0BGVkTNA
Window Functions: https://t.co/B7u49mRRsH
Beginners can start with W3 Schools, Practice on HackerRank, and then Window Functions.
#DataScience