🎓 Academic Organization for collaborative data science research and machine learning projects
Repository: spaceship_titanic
Advanced machine learning classification project featuring:
- Hyperparameter Optimization with Optuna
- Ensemble Methods (Voting & Stacking Classifiers)
- Multiple Algorithms (Random Forest, CatBoost, XGBoost, LightGBM)
- Comprehensive EDA and statistical analysis
- 🤖 Machine Learning & Deep Learning
- 📊 Statistical Analysis & Modeling
- 📈 Data Visualization & Exploratory Data Analysis
- 🔬 Research Methodologies & Best Practices
- 🏆 Kaggle Competitions & Real-world Applications
| Members | Student ID |
|---|---|
| MOHIT AGARWAL | 22031257 |
| JEROME PAULRAJ | 22074395 |
| OMKAR SHASHIKANT SAWANT | 22080770 |
| SOMY NELLIKKUNNEL THOMAS | 22079522 |
| CHANDRA SHEKAR LOSIRLU | 22081216 |
| HARI BAHADUR GHARTI MAGAR | 22075765 |
| YOGESH PANDIT | 22095146 |
Additional Libraries:
- ✅ Rigorous Cross-Validation methodologies
- ✅ Advanced Hyperparameter Tuning with Optuna
- ✅ Ensemble Learning techniques
- ✅ Comprehensive Documentation and reproducible code
- ✅ Statistical Validation and performance metrics
We follow academic best practices for collaborative research:
- Version Control with Git and GitHub
- Code Review processes
- Documentation Standards
- Reproducible Research methodologies
This organization supports coursework and research in:
- Research Methods in Data Science
- Machine Learning Applications
- Statistical Computing
- Data Science Project Management
🔗 Explore our repositories and contribute to open science!
Current Repository: spaceship_titanic - Advanced ML Classification Project
