BIG ANNOUNCEMENT: I'm beyond excited to announce that in 5 days, I'm launching my brand new course- The #Python for Machine Learning & API's Course.

This course will transform your #career.

Here's what's inside... 🧵

#datascience #course Image
This launch marks the culmination of 2 years of research...

It covers The 6 Top #Python libraries for machine learning and production:
1. #Pycaret: Low-code machine learning Image
2. #ScikitLearn: The premier ML toolkit in Python Image
3. #H2O: Blazing speed + AutoML Image
4. #MLFlow: Easy model lifecycle management Image
5. #FastAPI: Incredibly fast + easy APIs in python Image
6. #Streamlit: Simplified data science web apps Image
Ready to learn more AND advance your career with Python?

Then you can't miss this event.

$400 in giveaways that everyone gets for attending live!
What's the next step?

Just join my course waitlist + live launch event here.

I'm super excited!! 😀

👉Register Here: learn.business-science.io/python-ml-apis… Image

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More from @mdancho84

Jan 16
The price of the Python AI/ML Stack I've been using for 12 months:

Langchain $0
Langgraph $0
Scikit Learn $0
H2O $0
Torch $0
Pandas $0
Numpy $0
Plotly $0
Statsmodels $0
Ollama $0
OpenAI (<$1.00 per month)

Becoming a Generative AI Data Scientist cost me $12: 🧵 Image
1. Environment:

- VSCode
- Conda
- Jupyter VSCode Integration

Start here: code.visualstudio.com/docs/datascien…Image
2. Data Analysis and Visualization:

- Pandas
- Plotly
- Numpy
- Statsmodels
- Scipy

Start here: pandas.pydata.org/docs/getting_s…Image
Read 9 tweets
Jan 15
Here's a wild time series package in Python:

Let me introduce you to Stumpy: Image
Stumpy is a very unique library.

It computes a "matrix profile"

That's the secret sauce that allows you to do all these tasks:
Why a Matrix Profile? (because you can do this):

1. pattern/motif (approximately repeated subsequences within a longer time series) discovery

2. anomaly/novelty (discord) discovery

3. shapelet discovery

4. semantic segmentation
Read 6 tweets
Jan 13
Can AI do Time Series Forecasting?

This is what I found out. Image
Over the past 2 years, I've been studying AI. Why?

Because there are 1,000s of ways we can combine AI with Data Science.

Time series is one of them. Image
Most people have bad results with AI. And Time Series is no different.

Time Series is niche.
It's nuanced.
Practitioners have a set of steps that they follow.
These steps can differ from person to person. Image
Read 7 tweets
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
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
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

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