Niher Ranjan Halder | AI/ML Engineer Portfolio

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Interactive Demos

Explore live AI/ML-powered tools.

📉 Time Series Forecast

📉 3 D Scatter Plot of Houce Price Prediction Project

Interactive Tool

🏠 House Price Prediction using XGBoost

Model: Tuned XGBoost Regressor
Cross-Validated RMSE: 0.1229 (log-space)
Kaggle Public Score: 0.12826
Final Submission: ✅ Blended (Real RMSE: ~0.13)
Status: ✅ Completed & Deployed
🔗 GitHub Repo | 📄 Project Summary

🧠 Facial Keypoints Detection using CNN

Model: Custom Convolutional Neural Network (CNN)
Validation RMSE: 0.0230
Validation MAE: 0.0163
Dataset: 2140 grayscale face images (96×96 px, 30 keypoints)
Status: ✅ Completed and Submitted
🔗 GitHub Repo | 📄 Project Summary

🛠 Skills & Technologies

Python
Machine Learning
XGBoost / LightGBM
TensorFlow / Keras
Pandas / NumPy
Matplotlib / Seaborn / Plotly
Flask / Streamlit
Scikit-Learn + Git & GitHub
Docker + OpenCV
SQL / MongoDB

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