R & PY for Economics

[R & PY for Economics @mithridata_llc]

How to structure your data science projects with CRISP-DM https://t.co/adhCspTVgi

[R & PY for Economics @mithridata_llc]

Hey all, please check out my new post: "Data Cleansing in Python: common ways to clean your data"
https://t.co/DM1qSYk76D

#python #DataAnalytics

[R & PY for Economics @mithridata_llc]

I just published Data Profiling in Python: common ways to explore your data (part 1) https://t.co/LLZ8KQzmzX

[R & PY for Economics @mithridata_llc]

I just published Sankey Diagrams: Mapping the Flow of Money https://t.co/61RuGkSUs2

[R & PY for Economics @mithridata_llc]

Hey all. Was away for a while due to high workload... But now I am back and happy to share my most recent article on types of missing data in data analysis about MAR, MCAR, and MNAR
https://t.co/537IPBC24B

#DataAnalytics

[R & PY for Economics @mithridata_llc]

@_NafulaC Thanks!

[R & PY for Economics @mithridata_llc]

Hey all. Was away for a while due to high workload... But now I am back and happy to share my most recent article on types of missing data in data analysis about MAR, MCAR, and MNAR
https://t.co/537IPBC24B

#DataAnalytics

[R & PY for Economics @mithridata_llc]

Uncover the hidden patterns in Shakespeare’s Romeo and Juliet using Python! 📝🔍
Explore text mining with Project Gutenberg. It’s simpler than it sounds—dive into the data and see what you find! #Python #TextMining #DataScience
https://t.co/ikW8gKQerb

[R & PY for Economics @mithridata_llc]

I just published Speed, Efficiency, and Elegance of R with data.table package https://t.co/HPuRSzp7bZ

[R & PY for Economics @mithridata_llc]

What I learned from ‘The Black Swan’ by Taleb https://t.co/DhbZKLtwIP

#taleb #blackswan #BookReview

[R Markdown @rmarkdown]

How to Get Yahoo Finance Data in R — part 20 of ‘R for Applied Economics’ guide by @DimaD_DimaD https://t.co/sRzl4mobf0 #rstats

[Dmytro Iakubovskyi @dima806_dima]

Outlier detection in R: Grubbs’ Test by @DimaD_DimaD https://t.co/X82j7PxZCS

[R & PY for Economics @mithridata_llc]

Hi all! Please feel free to check out my article on Medium on how to run & interpret a plain multiple regression model in R, based on real-world economic data https://t.co/qW2hNtcDut

#rstats #regression #Economics

[R & PY for Economics @mithridata_llc]

I just published How to Seamlessly Integrate Python into R/RMarkdown Codes https://t.co/tNQM4kah33

#rstats #Python

[R & PY for Economics @mithridata_llc]

I just published Bridging the Gap: Running Python code inside of the RStudio environment https://t.co/y3jMJ6gfN6

[Swapna Kumar Panda @swapnakpanda]

Best YouTube Playlists for Data Science:

❯ Python
https://t.co/G1w3dCW558

❯ SQL
https://t.co/C0SB4vsvaZ

❯ R
https://t.co/FAVMpexL6V

❯ PowerBI
https://t.co/ZCn7aDYjzL

❯ Tableau
https://t.co/vWLcXmfs9L

❯ Excel
https://t.co/1m45P2g6Cp

❯ Data Analysis
https://t.co/GtOvehI700

❯ Data Analyst
https://t.co/S3lJvLEdOR

❯ Linear Algebra
https://t.co/NiFFV9M9GQ

❯ Calculus
https://t.co/vfHhvjc0VX

❯ Statistics
https://t.co/YSgbsv5zq2

❯ Machine Learning
https://t.co/f4P4Ad0PCU

❯ Deep Learning
https://t.co/4UjJonuUXN

❯ Deep Learning
https://t.co/CAiiRO55Ga

❯ Excel Power Query
https://t.co/ixZYa6mzx7

❯ Microsoft Excel
https://t.co/bWIpIuOiS4

[Dmytro Iakubovskyi @dima806_dima]

A Guide to Fetching World Policy Interest Rates from BIS in R by @DimaD_DimaD https://t.co/vKeCnk5gDE

[R & PY for Economics @mithridata_llc]

Discover how to retrieve, manipulate, and visualize geographical information using R. 🌍
https://t.co/N5DhxsHmZW

#R #maps #geospatial #rstats

[R & PY for Economics @mithridata_llc]

Hi all, just published part #33 of the "R for Applied Economics" guide! Dive into the world of economic data with the World Bank's datasets in R. Explore, filter, and visualize global insights. Check it out: https://t.co/10P8zyUGAu
#RStats #Economics

[R & PY for Economics @mithridata_llc]

Mastering decision trees in R using #rpart: explore hyperparameter tuning and pruning techniques for more precise data analysis
#DataScience #RStats #ML

https://t.co/f4yMWhG5SQ