ML-NLP-Coursework

📚 Machine Learning and Natural Language Processing coursework projects

Hands-on learning repository with Jupyter notebooks and projects exploring ML algorithms, regularization, hyperparameter tuning, and NLP techniques.

📂 Structure

• ml/ - Machine Learning projects (regression, classification, optimization)
• nlp/ - Natural Language Processing projects (text analysis, embeddings, models)

🎯 Quick Start

Google Colab

1. Visit Google Colab
2. Search for repo: IrumShehryar/ML-NLP-Coursework
3. Open any notebook to run

Local Machine

git clone https://github.com/IrumShehryar/ML-NLP-Coursework.git
pip install numpy pandas scikit-learn matplotlib nltk spacy
jupyter notebook

📚 Topics Covered

Machine Learning

• Regularization (Ridge, Lasso, Elastic Net)
• Hyperparameter tuning with GridSearchCV
• Classification & logistic regression
• Cross-validation & model evaluation

Natural Language Processing

• Text preprocessing & tokenization
• Sentiment analysis
• Named Entity Recognition
• Word embeddings & language models

🛠️ Libraries Used

• scikit-learn, pandas, numpy, matplotlib
• nltk, spacy
• Google Colab environment

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Status: 🔄 Actively Learning | Last Updated: June 2026