Anidipta/Machine-Learning-Models
All Levels MACHINE LEARNING MODELS
This collection of machine learning examples helps you understand how predictive models work by solving common real-world problems. It takes various datasets – like financial transactions, customer history, or medical records – and shows you how to build models that can forecast sales, detect fraud, or predict customer churn. This is ideal for anyone learning data science, machine learning, or analytics, including students, aspiring data scientists, or business analysts looking to apply these techniques.
No commits in the last 6 months.
Use this if you are learning machine learning and need practical, hands-on examples to understand classification, regression, clustering, or image recognition.
Not ideal if you are an experienced data scientist looking for production-ready solutions, advanced research, or highly specialized algorithms.
Stars
7
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Anidipta/Machine-Learning-Models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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
john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
x4nth055/pythoncode-tutorials
The Python Code Tutorials