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AI/ML Model
Machine learning model for data prediction
An AI/ML model developed during the YBI Foundation internship for data analysis and prediction tasks.
The project implements various machine learning algorithms including regression, classification, and clustering to analyze datasets and generate predictions.
The model was trained and evaluated using industry-standard practices including cross-validation, hyperparameter tuning, and performance metrics analysis.
Technologies Used
Pythonscikit-learnPandasNumPyMatplotlibSeabornJupyter Notebook
What I Learned
- ▹End-to-end machine learning pipeline development
- ▹Data cleaning, preprocessing, and feature engineering
- ▹Model selection, training, and evaluation techniques
- ▹Data visualization and exploratory data analysis
- ▹Hyperparameter tuning and model optimization
Unique Aspects
✦Comprehensive EDA with detailed visualizations
✦Multiple algorithm comparison and benchmarking
✦Industry-standard evaluation metrics
✦Well-documented Jupyter notebooks