🚀 Lab Programs: GenAI + Machine Learning

Welcome to my Lab Programs Repository, featuring hands-on projects in:

• 🧠 Generative AI
• 📊 Machine Learning

This repo contains practical Python programs and Jupyter notebooks that showcase modern AI & ML techniques using real-world datasets and modern APIs.

📂 Repository Structure

lab-programs/
├── Gen-AI/
│ ├── 1_explore_pretrained_word_vectors.py
│ ├── 2_visualize_word_embeddings_dimensionality_reduction.py
│ ├── 3_train_custom_word2vec_domain_specific.py
│ ├── 4_enrich_prompt_with_embeddings.py
│ ├── 5_generate_sentences_from_embeddings.py
│ ├── 6_sentiment_analysis_huggingface.py
│ ├── 7_summarize_text_huggingface.py
│ └── 8_cohere_chat_example.py
├── ML-Lab/
│ ├── ML_Lab.ipynb
│ └── ML-Lab-datasets/
│ ├── auto-mpg.csv
│ ├── BostonHousing.csv
│ ├── breastcancer_modified.csv.csv
│ ├── california_housing.csv
│ ├── Filtered_Students.xlsx
│ ├── heart.csv
│ ├── housing.csv
│ ├── iris.csv
│ └── olivettifaces.mat

🧠 GenAI Program Highlights

Program No.	Task
1	Explore Pre-trained Word Vectors
2	Visualize Word Embeddings (Dimensionality Reduction)
3	Train Custom Word2Vec on Domain Data
4	Enrich Prompts with Embeddings
5	Generate Sentences from Embeddings
6	Sentiment Analysis using HuggingFace Transformers
7	Text Summarization using HuggingFace Transformers
8	Chat Example with Cohere API

📊 Machine Learning Lab

Component	Description
ML_Lab.ipynb	End-to-end ML notebook covering data preprocessing, visualization, and model training
Datasets	9+ diverse datasets included for ML experimentation

✨ Visual Sneak Peek

🌌 Word Embeddings Visualization

📈 KMeans Clusters + PCA (ML_Lab.ipynb)

🚀 Getting Started

1️⃣ Clone the repo

git clone https://github.com/Dev-0618/Lab-Programs.git
cd Lab-Programs

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Run GenAI programs

cd Gen-AI
python 1_explore_pretrained_word_vectors.py
# or any other program

4️⃣ Launch ML Lab notebook

cd ML-Lab
jupyter notebook ML_Lab.ipynb

🛠 Tech Stack

• Python 3.x
• HuggingFace Transformers
• Cohere API
• Word2Vec (Gensim / custom training)
• Scikit-learn
• Pandas
• Matplotlib / Seaborn
• Jupyter Notebooks

🤝 Contributing

Contributions are welcome! Feel free to fork this repo and submit pull requests to improve or extend the projects.

⭐️ If you find this repo useful, please consider giving it a ⭐️!

Crafted with ❤️ by [Dev-0618](https://github.com/Dev-0618)

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