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🔥 Matt Dancho (Business Science) 🔥 Profile picture
@mdancho84
May 20, 2023 • 7 tweets • 5 min read • Read on X
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As a data scientist, productivity is a 10X super power.

Here's a short list of AI tools to help data scientists with: 🧵

#ai #datascience #career #skills #tools Image
1. Writing code

AI pair programming is a huge benefit.

Tools like #chatgpt & github #copilot can help debug complex code and replace Googling + Stack Overflowing for common scripting.

Key skill: ChatGPT prompting (more on this in my free ChatGPT for Data Scientists) Image
2. Code Quality & Documentation

Great products have great documentation. AI can help produce documentation, comment code, and replace time-consuming manual documentation with automated AI docs.

Key Skill: Using @mintlify to build your docs: mintlify.com Image
3. Presentations

Great data scientists are storytellers. Use persuasion to your advantage.

Key Skill: Generating images with AI using @midjourney_ai . midjourney.com Image
I'm road-testing all of these.

And I've been quietly researching #ChatGPT for Data Scientists (My NUMBER 1 TOOL) for the past 4 months.

I have good news - I'm ready to reveal my chatgpt research!
If you want to understand how ChatGPT can make you a better data scientist (and mistakes to avoid)...

I'll be sharing my research in a Free WORKSHOP: ChatGPT for Data Scientists (Wednesday, June 7th)!
What's Your Next Step?

Join me and 1,000 data scientists as we crush AI in my LIVE ChatGPT for Data Scientists Workshop.

Seats are limited (1,000 max).

👉Register Here: us02web.zoom.us/webinar/regist… Image

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More from @mdancho84

🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jan 12
Introducing my SQL Data Analyst Agent.

I'm excited to announce an addition to my AI Data Science Team in Python.

This is what it does: Image
The AI Data Science team is a free GitHub repo that helps you perform common data science tasks 10X faster.

This is the first multi-agent in my arsenal: The SQL Data Analyst.

It combines:
- SQL Code Writing
- Database Execution (run SQL queries, get data)
- Data Visualization (produce plots or tables)Image
Get my AI Data Science Team and learn more at my GitHub: github.com/business-scien…
Read 5 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jan 10
Python has powerful time series libraries.

Case in point: skforecast

Let me explain: Image
Skforecast is a Python library for time series forecasting using machine learning models.

Skforecast works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. Image
skforecast shines with probabilistic forecasting.

When trying to anticipate future values, most forecasting models try to predict what will be the most likely value.

This is called point forecasting. Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jan 9
Python is insane for time series.

Case in point: Pytimetk 📈 Image
PyTimetk’s Mission: To make time series analysis easier, faster, and more enjoyable in Python.

Pytimetk uses a Polars backend for massive speedups. Image
Pytimetk tutorials:

✅ Sales Analysis: business-science.github.io/pytimetk/tutor…Image
Read 8 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Dec 31, 2024
A Python Library for Time Series by Salesforce.

Let me introduce you to Merlion. Image
1. What is Merlion?

Merlion is a Python library for time series intelligence.

It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. Image
2. GUI Dashboard

Merlion makes time series analysis easier with a web-based dashboard.

This dashboard provides a great way to quickly experiment with many models on your own custom datasets. Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Dec 30, 2024
Python has crazy forecasting libraries.

Let me introduce you to Kats, by Meta (Facebook) Image
Kats is a toolkit to analyze time series data and a lightweight, easy-to-use, and generalizable framework to perform time series analysis. It covers:

- Forecasting
- Detection
- Feature Extraction
- Simulation
1. Forecasting

Kats integrates popular models like ARIMA, Prophet, Holt Winters, and VAR.

Kats also has functions for ensemble models and multivariate forecasts.

See example: github.com/facebookresear…Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Dec 29, 2024
Automate feature engineering with AI (...in 1 line of Python code)

This is how: Image
My AI data science team has a new agent: The Feature Engineer.

This agent's sole purpose is to make your life easier (and your ML models more accurate).

Here's how it works: Image
1. Load a dataset

Here I'm importing Churn Data. Image
Read 9 tweets

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