https://github.com/manasapuellela/ai-ml-experiments

A collection of small AI/ML experiments, data analyses, and model prototypes.
https://github.com/manasapuellela/ai-ml-experiments

ai data-science deep-learning embeddings huggingface jupyter-notebook machine-learning nlp python pytorch semantic-search sklearn

Last synced: 3 months ago
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A collection of small AI/ML experiments, data analyses, and model prototypes.

• Host: GitHub
• URL: https://github.com/manasapuellela/ai-ml-experiments
• Owner: manasapuellela
• Created: 2025-11-19T15:41:00.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-11-19T16:19:27.000Z (8 months ago)
• Last Synced: 2025-11-19T17:26:42.269Z (8 months ago)
• Topics: ai, data-science, deep-learning, embeddings, huggingface, jupyter-notebook, machine-learning, nlp, python, pytorch, semantic-search, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 346 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🧠 AI & ML Experiments

A collection of small, focused **AI/ML experiments**, notebooks, and prototypes built using Python.  

The goal of this repository is to demonstrate clear thinking, clean implementation, and end-to-end problem solving — from data exploration to model evaluation.

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## 📁 Project Structure

This repository contains:

- `notebooks/` → Data exploration, ML experiments, LLM demos  

- `data/` → Small sample datasets (non-sensitive)  

- `src/` → Python scripts for reusable functions  

- `models/` → Saved models (only small ones, not large weights)  

- `reports/` → Visualizations, metrics, observations  

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## 🔬 What’s Inside

- Classical ML: classification, regression, clustering  

- Feature engineering workflows  

- Model training & evaluation  

- Simple neural network experiments  

- Basic LLM tasks (embeddings, text classification, prompts)  

- Real-world style documentation & explainability  

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## 🛠 Tech Used

- Python  

- Pandas, NumPy  

- scikit-learn  

- Matplotlib / Seaborn  

- PyTorch (basic)  

- Hugging Face (LLM experiments)  

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## 🎯 Goal

To show:

- How I think about problems  

- How I write clean, modular Python  

- How I experiment with AI/ML ideas  

- How I document insights clearly