Applied Machine Learning Projects

A curated set of applied ML notebooks (classification, NLP, and deep learning) with clear objectives, evaluation, and reproducible runs in Google Colab.

Projects

1. Convolutional Neural Network
   A basic CNN built using TensorFlow/Keras for image classification.

2. Mini-GPT Model
   A small-scale GPT-like language model for text generation, implemented using PyTorch.

3. Twitter NLP Analysis
   Natural language processing pipeline for sentiment analysis of Twitter data.

Getting Started

All notebooks run in Google Colab, so no local setup is required.
Simply open a notebook and click Open in Colab.

Technologies

• Python (3.x)
• TensorFlow, PyTorch, Scikit-learn
• Pandas, NumPy, Matplotlib

Notes

These are learning projects and are not production-ready models.