#datascience

Machine Learning Roadmap: #Python #MachineLearning #Roadmap #datascience pic.twitter.com/v46GIWi1LY

I’m passed the Microsoft Certified: Azure Data Scientist Associate exam. I took the course on the Microsoft website. Then, I took 6 official practice tests on measureup until I scored high enough. I’m looking forward to studying for the AWS Machine Learning Exam next #datascience pic.twitter.com/4QSljjHFdB

Useful flowchart for selecting a data visualisation! Source: @iDataEngineer #DataVisualization #FlowChart #DataScience pic.twitter.com/B38MIXo2Ip

Day 79 of #100DaysOfCode Starting to get into reasons for using SQL. Python libraries! #womenwhocode #SQL #DataScience pic.twitter.com/3L5NoyAWjG

Top 5 #DataScience #Books That Every Beginner Should Read: https://hubs.la/Q016gZw70 pic.twitter.com/oKy1jlmju5

Coding for Economists now has guidance on writing papers, drawing on advice of many others inc @Claudia_Sahm, @marcfbellemare, @ckhead, @rskudesia, @MikeKaspari, & @DaveEvansPhD. Feedback welcome! https://aeturrell.github.io/coding-for-economists/craft-writing-papers.html … #econtwitter #datascience #academicchatter @just_economicspic.twitter.com/r7F2FYg9y1

Don’t remove all of the interesting parts of your data analysis by over-aggregating. #datascience #visualization Great stuff from @zanstrong https://stackoverflow.blog/2022/03/03/stop-aggregating-away-the-signal-in-your-data/ …pic.twitter.com/8IVAP8KxsP

[Member Benefit] Need #datasets? INFORMS members receive free access to world's largest #data platform, https://bit.ly/36K8N5n , which has data from leading global sources for use in #AI & #datascience work. Learn more and request your access code! https://bit.ly/3D9DSeH pic.twitter.com/XZ6bWlubmM

The deadline for CURP is approaching! Students have until 4/8 to apply. The program is a great opportunity for undergrad students to build professional relationships and engage in meaningful #research collaborations. To apply, please visit: https://cds.nyu.edu/curp/  #datascience pic.twitter.com/KKM5JcOGUp

Do We Really Need Deep Learning Models for Time Series Forecasting? https://arxiv.org/pdf/2101.02118.pdf … An empirical comparison between simple models (statistical like ARIMAs, or machine learning like gradient boosting) and deep neural networks. #datascience pic.twitter.com/Cupr4HR9DZ

Microsoft Excel Key Shortcut-- Join us: Newsletter - https://bit.ly/3ftaoxq  Telegram - https://bit.ly/3miO1iz  Instagram - https://bit.ly/3wdV27A  #machinelearning #data #datascience #100DaysOfCode #pythonbot #python #ai #aibot #66daysofdata #theravitshow pic.twitter.com/PdapEVby8D

#DataScience pic.twitter.com/9XVGWUfQsG

Cuma gecesi bitmeden bunu da bitirdim. Generalized Linear Models in Python #datacamp #DataScience pic.twitter.com/exJNaHZSz6