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🔥 Matt Dancho (Business Science) 🔥 Profile picture
@mdancho84
May 20, 2023 • 10 tweets • 5 min read • Read on X
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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

🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jul 4
Principal Component Analysis (PCA) is the gold standard in dimensionality reduction.

But PCA is hard to understand for beginners.

Let me destroy your confusion: Image
1. What is PCA?

PCA is a statistical technique used in data analysis, mainly for dimensionality reduction. It's beneficial when dealing with large datasets with many variables, and it helps simplify the data's complexity while retaining as much variability as possible.
2. PCA has 5 steps:

1. Standardization
2. Covariance Matrix Computation
3. Eigen Vector Calculation
4. Choosing Principal Components
5. Transforming the data
Read 12 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jul 1
🚨 Say goodbye to manual ETL

Cleaned a 100k-word PDF dataset in 3 lines of Python code: Image
1. What is DocETL?

DocETL is a system for LLM-powered data processing.

You can create LLM-powered data processing pipelines. Image
2. Quick Example:

I made a quick, messy-PDF-to-Structured Output pipeline in 3 lines of Python: Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jun 30
🚨 Synthetic Data is the Future of AI

Introducing The Synthetic Data Vault (SDV).

This is what you need to know: Image
Synthetic Data is the Future of AI

Synthetic data keeps your data private.

SDV generates fake datasets that look REAL.

Here's how: Image
I built a 100k-row customer dataset in 4 lines:

Perfect for HIPAA-compliant Machine Learning & AI.

Google Colab Example: colab.research.google.com/drive/1L6i-JhJ…Image
Read 7 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jun 29
Logistic Regression is the most important foundational algorithm in Classification Modeling.

In 2 minutes, I'll crush your confusion.

Let's dive in: Image
1. Logistic regression is a statistical method used for analyzing a dataset in which there are one or more independent variables that determine a binary outcome (in which there are only two possible outcomes). This is commonly called a binary classification problem.
2. The Logit (Log-Odds):

The formula estimates the log-odds or logit. The right-hand side is the same as the form for linear regression. But the left-hand side is the logit function, which is the natural log of the odds ratio. The logit function is what distinguishes logistic regression from other types of regression.Image
Read 9 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jun 27
These 7 statistical analysis concepts have helped me as an AI Data Scientist.

Let's go: 🧵 Image
Step 1: Learn These Descriptive Statistics

Mean, median, mode, variance, standard deviation. Used to summarize data and spot variability. These are key for any data scientist to understand what’s in front of them in their data sets. Image
2. Learn Probability

Know your distributions (Normal, Binomial) & Bayes’ Theorem. The backbone of modeling and reasoning under uncertainty. Central Limit Theorem is a must too. Image
Read 12 tweets
🔥 Matt Dancho (Business Science) 🔥 Profile picture
Jun 27
🚨BREAKING: New Python library for Bayesian Marketing Mix Modeling and Customer Lifetime Value

It's called PyMC Marketing.

This is what you need to know: 🧵 Image
1. What is PyMC Marketing?

PyMC-Marketing is a state-of-the-art Bayesian modeling library that's designed for Marketing Mix Modeling (MMM) and Customer Lifetime Value (CLV) prediction.
2. Benefits

- Incorporate business logic into MMM and CLV models
- Model carry-over effects with adstock transformations
- Understand the diminishing returns
- Incorporate time series and decay
- Causal identification Image
Read 9 tweets

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