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.
Explored 911 call data to uncover emergency trends and patterns.
📌 Tools: Pandas, Seaborn
📊 Heatmaps, time-series plots for emergency categories
Built a sentiment classifier using TF-IDF and logistic regression.
📌 Tools: Scikit-learn, NLP Pipelines
✅ Confusion matrix, model evaluation
Predicted house prices using structured datasets.
📌 Tools: Scikit-learn, Pandas, Seaborn
📊 Feature engineering, RMSE, R² evaluation
Analyzed financial data to discover trends and returns.
📌 Tools: Pandas, Matplotlib
📊 Time-based return modeling and visualization
Collaborative filtering using cosine similarity and memory-based scoring.
📌 Tools: Python, Sparse matrices
🧮 Similarity metrics and evaluation
Built and trained neural networks for binary and multi-class classification.
📌 Tools: Keras, Sequential API
🧠 Focus on tuning optimizers and metrics
- ✉️ Email: vivekgiri556@gmail.com
- 🧑💻 GitHub: vivek7557
- 🏅 Kaggle: vivek7557
📌 Clone or fork this repo to explore these projects in more detail!