aminizahra/ML_AI2YOU
Machine Learning Course AI2YOU / 2023
This repository is a comprehensive learning resource for individuals interested in understanding and applying machine learning. It provides materials covering foundational data analysis tools like NumPy and Pandas, and progresses through various supervised and unsupervised learning algorithms such as Linear Regression, Logistic Regression, and K-Means Clustering. This is ideal for students, aspiring data scientists, or analysts looking to build a strong theoretical and practical understanding of machine learning concepts.
No commits in the last 6 months.
Use this if you are looking for structured educational content to learn machine learning from scratch or to deepen your existing knowledge.
Not ideal if you are an experienced machine learning practitioner seeking advanced research topics or production-ready code examples for specific applications.
Stars
7
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aminizahra/ML_AI2YOU"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
neural-data-science/NESC_3505_textbook
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
GeostatsGuy/MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine...
tuanavu/coursera-university-of-washington
University of Washington