sourcecode369/ml-algorithms-on-scikit-and-keras
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
This project provides pre-built examples of machine learning algorithms that can help you analyze data and make predictions. It takes your raw datasets and, through various techniques, helps you build models to classify information, predict outcomes, or group similar items. This is designed for anyone new to machine learning who wants to see practical implementations of common algorithms.
No commits in the last 6 months.
Use this if you are a beginner looking for clear, working examples of machine learning algorithms to learn from.
Not ideal if you need a production-ready solution or advanced, cutting-edge machine learning research.
Stars
18
Forks
11
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 22, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sourcecode369/ml-algorithms-on-scikit-and-keras"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
the-mrinal/ML-Notebook
Comprehensive ML curriculum: from NumPy to Neural Networks. 50+ Jupyter notebooks with...
keshavsingh3197/Python
this resporatory have ml,ai,nlp,data science etc.python language related material from many...
minerva-ml/steppy
Lightweight, Python library for fast and reproducible experimentation :microscope:
manashmandal/ml.manash.me
(Deprecated) Visit this one -> https://bn.mlmodel.fit/
oborchers/Medium_Repo
This repository provides the code examples for the corresponding blog posts. In case you have...