https://github.com/abhishek10351/ai-ml
Exploring basics of AI-ML
https://github.com/abhishek10351/ai-ml
ai jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn
Last synced: 4 months ago
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Exploring basics of AI-ML
- Host: GitHub
- URL: https://github.com/abhishek10351/ai-ml
- Owner: Abhishek10351
- License: mit
- Created: 2024-08-21T15:47:49.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-05-18T06:04:09.000Z (about 1 year ago)
- Last Synced: 2025-05-31T16:33:35.109Z (about 1 year ago)
- Topics: ai, jupyter-notebook, machine-learning, matplotlib, ml, numpy, pandas, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AI - ML Basics
## Introduction
This notebook is a part of the AI-ML Basics series. It contains the basic concepts of AI and ML, along with the tools used.
The courses used as reference are:
1. [ML Crash Course by Google](https://developers.google.com/machine-learning/crash-course/ml-intro)
2. [Complete Machine Learning and Data Science: Zero to Mastery](https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/)