Machine Learning Lab Questions
Implemented various machine learning algorithms and techniques learned during the course, such as Nearest Neighbours, conformal prediction, linear regression, Ridge Regression, Lasso, data preprocessing, parameter selection, kernels, neural networks, support vector machines, scikit-learn pipelines, and cross-conformal predictors.
Programming Languages:
- Python
Technologies, Libraries & Frameworks:
- Scikit Learn
- NumPy
- Matplotlib
- Jupyter Notebooks
- Git
- GitHub
- Black
Machine Learning Lab Questions
University Project
Description
Implemented various machine learning algorithms and techniques learned during the course, such as Nearest Neighbours, conformal prediction, linear regression, Ridge Regression, Lasso, data preprocessing, parameter selection, kernels, neural networks, support vector machines, scikit-learn pipelines, and cross-conformal predictors.