🧠 Vivek Giri – Machine Learning Portfolio

Welcome to my ML project portfolio! This repository showcases my hands-on work in data science, NLP, deep learning, and ML systems. Each project includes code, datasets, and notebooks, demonstrating end-to-end workflows.

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📂 Projects Overview

🚨 911 Emergency Call Analysis

Explored 911 call data to uncover emergency trends and patterns.
📌 Tools: Pandas, Seaborn
📊 Heatmaps, time-series plots for emergency categories

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💬 Yelp Review Sentiment Classifier (NLP)

Built a sentiment classifier using TF-IDF and logistic regression.
📌 Tools: Scikit-learn, NLP Pipelines
✅ Confusion matrix, model evaluation

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🏠 House Price Regression Model

Predicted house prices using structured datasets.
📌 Tools: Scikit-learn, Pandas, Seaborn
📊 Feature engineering, RMSE, R² evaluation

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📈 Stock Trend Analysis

Analyzed financial data to discover trends and returns.
📌 Tools: Pandas, Matplotlib
📊 Time-based return modeling and visualization

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🤝 Recommender System

Collaborative filtering using cosine similarity and memory-based scoring.
📌 Tools: Python, Sparse matrices
🧮 Similarity metrics and evaluation

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🔬 Keras Deep Learning Models

Built and trained neural networks for binary and multi-class classification.
📌 Tools: Keras, Sequential API
🧠 Focus on tuning optimizers and metrics

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📫 Contact

• ✉️ Email: vivekgiri556@gmail.com
• 🧑‍💻 GitHub: vivek7557
• 🏅 Kaggle: vivek7557

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📌 Clone or fork this repo to explore these projects in more detail!