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

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with 🔥 Matt Dancho (Business Science) 🔥

🔥 Matt Dancho (Business Science) 🔥 Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @mdancho84

Feb 20
Data Science for Business.

The book that helped me connect the dots. Let's dive in: Image
1. CRISP Data Mining Process

The foundation for applying data science to business is the CRISP method.

This is a helpful framework for integrating data science with the business understanding. Image
2. Machine Learning Predictions as Probabilities

One of the most important part of machine learning is probability.

We can estimate the probability from machine learning predictions.

Once you get this, the next framework opens up: Image
Read 7 tweets
Feb 20
90% of data scientists can improve their SQL for business intelligence.

In 3 minutes, learn the 20% of SQL gets 80% of results: Image
🔍 SELECT Basics:

Start with SELECT * FROM table to retrieve all rows & columns.

Remember, SQL isn’t case-sensitive—but capitalizing keywords (SELECT, FROM) makes your queries easier to read. Image
📝 Choosing Specific Fields:

Instead of the star (*), list only the fields you need (e.g., field1, field2) and rename them using AS for clarity.

Clear queries lead to clear insights. Image
Read 10 tweets
Feb 19
Tableau is about to die.

Introducing PandasAI, a free alternative for fast Business Intelligence.

Let dive in: Image
1. PandasAI

PandaAI transforms your natural language questions into actionable insights — fast, smartly, and effortlessly.
2. Powerful dashboards in seconds

The problem with Tableau? Analysts have to build them from scratch.

PandasAI solves this problem making it lightning fast to create dashboards from multiple sources. Image
Read 7 tweets
Feb 19
Decision trees are a fundamental tool for every Data Scientist.

But for 3 years, I was hesitant to use them.

In 3 minutes, I'll destroy your confusion. Let's dive in: Image
1. Decision Tree:

A decision tree is a graphical representation used for decision-making and data analysis. It resembles a tree structure and is commonly used in machine learning, specifically in classification and regression tasks.
2. Structure:

A decision tree consists of nodes and branches. The top node is known as the root node, and it represents the entire dataset.

Decision Nodes: These are where the splits happen, based on a certain condition or attribute.

Leaf/Terminal Nodes: These nodes represent the outcome of the decision process.
Read 11 tweets
Feb 18
Outliers have led me to 100s of business insights. But first I had to find them.

In 3 minutes let me kill your confusion. Let's dive into outliers: Image
1. Outliers

Outliers or anomalies in a dataset are data points that differ significantly from other observations. They are often important insights signifying key events.
2. Methods: There are 1000s of outlier detection methods. The ones I use can be broken into 4 categories:

1. Statistical
2. Clustering
3. Time Series
4. Machine Learning
Read 10 tweets
Feb 17
Tableau and PowerBI are getting killed by free AI tools.

Case in Point: Microsoft's AI Data Formulator.

100% free in Python. Let's dive in: Image
1. Data Formulator: Create Rich Visualizations with AI

Data Formulator is an AI-powered tool for data analysts to iteratively create rich visualizations.

Data Formulator is an application from Microsoft Research that uses large language models to transform data, expediting the practice of data visualization.
2. A Novel Approach to Business Intelligence

Unlike most chat-based AI tools where users need to describe everything in natural language, Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction. This blended approach makes it easier for users to describe their chart designs while delegating data transformation to AI
Read 9 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(