WinVector LLC

#DataScience and #R consulting and training by John Mount and Nina Zumel. and blog

[WinVector LLC @WinVectorLLC]

I would like to share a new article on some of the methods and pitfalls of time series forecasting

https://t.co/PDBUNBavkb

#TimeSeries #rstats #Statistics #DataScience #Analytics

[WinVector LLC @WinVectorLLC]

Google search????

[WinVector LLC @WinVectorLLC]

The Sell ∀ ∃ as ∃ ∀ Scam
https://t.co/x7nvCo7JPK
#ai #machinelearning #deeplearning

[WinVector LLC @WinVectorLLC]

Dr. Nina Zumel just shared a nice Pandas/Polars Rosetta Stone. The common needed data wrangling operations in Pandas and Polars. This can help with the data wrangling in your projects. Please check it out https://t.co/tt4bKA5f5O

#pydata #pandas #polars #datascience #Python

[WinVector LLC @WinVectorLLC]

https://t.co/Xew5jPX5F7

[WinVector LLC @WinVectorLLC]

The standard method to estimated an expected value is to use the average from a sample. When we know something about how the data is grouped, you can do better. Please check it out:

https://t.co/a3pz8kqU3H

#python #data #pydata #datascience #statistics

[WinVector LLC @WinVectorLLC]

How much data do you need for a data science project?

https://t.co/ZqA2sb3oJT

[WinVector LLC @WinVectorLLC]

Bounding Excess Generalization Error for Linear Regression Models
https://t.co/2IGqmLs0TL
#statistics #datascience

[WinVector LLC @WinVectorLLC]

Having some fun with a short lecture on using the decomposition of regression problems (predicting numbers) into a function plus error or residuals.
https://t.co/Xv6F2spfd2
#statistics #datascience

[WinVector LLC @WinVectorLLC]

Thinking About Linear Regression
https://t.co/NSRUztkgQ3
#statistics #datascience #rstats #pydata

[WinVector LLC @WinVectorLLC]

@bielleogy Some more thoughts on reply all:
https://t.co/BwdwyDuBCB

[WinVector LLC @WinVectorLLC]

Data Algebra now fully support Polars for data engineering.

https://t.co/R2FXnzPFiw

#dataengineering #pydata #Polars #DataScience

[WinVector LLC @WinVectorLLC]

The whole purpose of this account has been to try to drive traffic to the Win Vector blog https://t.co/sqj8jpaR4x . I admit I haven't kept that. But if that is no going to be allowed ...

[Not Jerome Powell @alifarhat79]

In all fairness your honor, my client said he’ll mint a new coin to repay all FTX investors in full

[WinVector LLC @WinVectorLLC]

Touching the 3rd Rail of Data Science: “R or Python?”
(including my own myopic benchmark)
https://t.co/eOcHNQHkNF
#rstats #pydata #datascience #datatable #polars

[WinVector LLC @WinVectorLLC]

@mjcavaretta As if phone trees were not already bad enough.

[WinVector LLC @WinVectorLLC]

Hi, #polars Peeps, would please love some help with aggregating strings in Python Polars. I have an open question here: "How to get max string per group in Polars?" (works for numbers, not for strings) https://t.co/yklI3FT0WX

[WinVector LLC @WinVectorLLC]

I am starting to experiment with a the Polars data frame library in Python. In fact I have started development on a data algebra to Polars adapter. Please check out my initial notes and experiment here: https://t.co/JmvBlZBpFP #python #pydata #datascience #polars

[WinVector LLC @WinVectorLLC]

Couldn't resist trying to reproduce @__mharrison__ 's brilliant Pandas example in the data algebra: https://t.co/p0aqIJLFAt #pandas #pydata

[Matt Harrison @__mharrison__]

Once you understand the common patterns in Pandas, you piece them together to build up powerful analytics quickly! 🐼🤯