Here is the repository that contains all the problems and implementation of all codes using python during my Masters Degree.
Each Problem and its Implementation is stored in a sepearate folder along with its data for reference.
- Simple Word Count Program
- Simple Matrix Calculations
- Simple Linear Regression using Least Squares Estimation
- Linear regression to perform the following
- Gaaussian Solver
- Cholesky Decomposition Solver
- QR Decomposition
- Logistic Regression to perform the following
- Simple SGA and SGD
- SGA and SGD using Bold Driver Step Length
- SGA and SGD using Adagrad Step Length
- Regularization and perform the following
- Ridge Regression
- Hyper-parameter tuning and K- Fold Cross validation
- Newton's Method