https://github.com/nkr1108/aimljourney
My AIML Journey
https://github.com/nkr1108/aimljourney
altair bagging-classifier boosting-classifier decision-tree ensemble-techniques expolatory-data-analysis hyperparameter-tuning linear-regression logistic-regression model-evaluation-metrics pandas python random-forest regular-expression seaborn sklearn stacking-classifier visualization
Last synced: 7 months ago
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My AIML Journey
- Host: GitHub
- URL: https://github.com/nkr1108/aimljourney
- Owner: nkr1108
- Created: 2025-08-14T15:47:57.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-28T16:02:10.000Z (7 months ago)
- Last Synced: 2025-09-28T16:27:38.790Z (7 months ago)
- Topics: altair, bagging-classifier, boosting-classifier, decision-tree, ensemble-techniques, expolatory-data-analysis, hyperparameter-tuning, linear-regression, logistic-regression, model-evaluation-metrics, pandas, python, random-forest, regular-expression, seaborn, sklearn, stacking-classifier, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 127 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AI & Machine Learning Learning Journey
This repository contains a collection of Jupyter Notebook (`.ipynb`) files created during my journey of learning **Machine Learning and Artificial Intelligence**.
The notebooks cover various concepts, algorithms, and experiments I explored while studying, practicing, and building small projects in AI/ML.
## 🎯 Purpose
The primary goal of this repository is to document my learning process and share my progress as I practice and implement different AI/ML concepts.
It serves as both a **personal reference** and a **portfolio** of my work.
## 🙏 Acknowledgements
While creating these notebooks, I referred to and took guidance from:
- [GitHub Copilot](https://github.com/features/copilot) – for code completion and ideas
- [Great Learning](https://www.mygreatlearning.com/) – Completed Post Graduate in ML and AI
- [Coursera](https://www.coursera.org/) - Completed IBM Data Science Professional Certificate
- [University of Colorado Boulder] - Doing Masters in Data Science
## ⚠️ Note
These notebooks are **learning exercises** and may contain experimental code, partial implementations, or simplified examples.
They are not production-ready solutions.
## 📜 License
This repository is shared for **educational purposes**.
You are welcome to view, use, and adapt the code for learning!