AnalyseUp

Find tutorials on Data Science, Analytics & BI with Alteryx and Python at AnalyseUp.

[AnalyseUp @analyseup]

Learn skills for data science, data analysis and BI at https://t.co/NCCAkAm0a1

#DataScience #AnalyseUp #Analytics #learning #data

[IndentFour @indentfour]

LangGraph subgraphs aren’t just useful for reusability. They also enable enforcement of state boundaries.

By defining a subgraph state along with input and output schemas, we can control what gets passed between the subgraph and the parent along with what state keys are kept private within the subgraph.

[IndentFour @indentfour]

I keep seeing the same gaps in AI engineering project repos. Having them really makes candidates stand out:

1. A README that explains the problem and how the project solves it
2. Deterministic code where an LLM isn't needed with the reasoning written down
3. Structured outputs on model responses
4. Fallbacks for when a step fails or the model gets it wrong
5. An eval suite with a dataset that shows thought about what's being tested and why
6. Cost and latency considered and documented

What would you add?

[IndentFour @indentfour]

When I review an AI engineer's repo, I'm often more interested where they didn't use an LLM.

I want the docs to tell me what needed a model and why and which steps are deterministic and why.

That tells me each step was considered and the most efficient option was picked. Systems built that way are cheaper, faster and much more likely to hold up in production.

What are some unnecessary LLM calls you've seen?

[Harsh Makadia @MakadiaHarsh]

ChatGPT has 100,000,000+ users.

But 99% don't know its output formats beyond text.

11 Powerful output formats ChatGPT can produce ( with examples ) 🧵:

[Pau Labarta Bajo @paulabartabajo_]

Aspiring data scientists often ask

"How much Math do I need to become a professional data scientist?" 🤔

Here is my answer ↓↓↓

[IndentFour @indentfour]

Just reread The Wisdom of Crowds. The idea of the best decisions coming from aggregated opinions of a diverse group including experts and non-experts sounds a lot like weak learners in a Random Forest.
#datascience #machinelearning #randomforest

[Vincent Weisser @vincentweisser]

Goldmine of great libraries and reading lists, collected by @JvNixon

https://t.co/lnRcDXbJgp

[AnalyseUp @analyseup]

@chassjeff Thanks for calling this out. It should be fixed now.

[AnalyseUp @analyseup]

https://t.co/7jStZlpqvq

[AnalyseUp @analyseup]

Have you got a problem with unwanted white space in your pandas dataframes? The code snippet on https://t.co/trGe6GUlKH shows a simple way to remove leading and trailing white space. #DataScience #python #nlp

https://t.co/3DM44tfPB8

[AnalyseUp @analyseup]

Datacated Academy has excellent courses focussed on visualisation. Aleksa Gordic posts are some of the best around and includes a post on his path to becoming a research engineer at Deep Mind.

[AnalyseUp @analyseup]

Our current data science resource recommendations:
1. https://t.co/v8pgypo7WA for creating creating, storing and sharing data science code snippets
2. https://t.co/euAqjGO6oH from @datacated_
3. https://t.co/bhH1kRC0VH from @gordic_aleksa

#datascience #100DaysOfCode

[Supabase @supabase]

British devs after typing “color” in CSS 🧼🧽

[AnalyseUp @analyseup]

Matplotlib for Beginners Part 1 #datascience #Python #dataviz

https://t.co/CoTE85a2FQ

[AnalyseUp @analyseup]

Image augmentation using Keras Image Data Generator. #ArtificialIntelligence #TensorFlow #DataScience

https://t.co/mzslgJfdAm

[AnalyseUp @analyseup]

How to use Python to extract files from a zip file. #Python #DataScience #100DaysOfCode

https://t.co/U9H5KJu2np

[AnalyseUp @analyseup]

A code snippet for using the cross_validate function to score your model across different folds of your data. #DataScience #Python #MachineLearning

https://t.co/3FhSMNLH5o

[Kate Strachnyi ('DATAcated') @datacated_]

https://t.co/uMAZNy3zRA

[AnalyseUp @analyseup]

A code snippet on Datasnips for getting a list of immediate subdirectories using Python. #Python #DataScience

https://t.co/V5NXMvuzLv

[AnalyseUp @analyseup]

A quick way to add a secondary axis to a chart with Matplotlib.
#DataScience #pythonprogramming #dataviz
https://t.co/GC5dSz9n7w