flo7up/relataly-public-python-tutorials
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
This collection helps business professionals understand and apply machine learning, deep learning, and generative AI to common business challenges. It provides ready-to-use Python code examples and explanations for tasks like predicting stock prices from historical data, classifying images, finding unusual patterns in data, or generating text. Financial analysts, marketing specialists, and operations managers can use these resources to gain insights and automate tasks within their domains.
158 stars. No commits in the last 6 months.
Use this if you are a business professional looking for practical, code-based examples to apply machine learning or AI to problems like time series forecasting, image classification, anomaly detection, or generative AI in a business context.
Not ideal if you are a seasoned data scientist looking for advanced research implementations or a pure beginner with no programming experience.
Stars
158
Forks
97
Language
Jupyter Notebook
License
CC-BY-SA-4.0
Category
Last pushed
Aug 09, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/flo7up/relataly-public-python-tutorials"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
jzsmoreno/likelihood
Code generated from the Machine Learning course to optimization tasks
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
x4nth055/pythoncode-tutorials
The Python Code Tutorials
john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019