Name: FAHAD MOSTAFA
Type: User
Company: Texas Tech University
Bio: Student in Optimization, Machine learning & Statistics at Texas Tech.
Location: Lubbock, Texas.
FAHAD MOSTAFA's Projects
ARIMA-ARIMAX- for Debt Ratio Forecasting
it is common to seek a solution x minimizing r(x)=‖y-Ax‖^2 , where AϵR^(n×n). Let the initial guess x_0=0 them the residual vector is r_0=y. We can use GMRES method for solving y = Ax, using Krylov subspaces κ_m, where Arnoldi’s iteration has been applied to find orthonormal basis for κ_m,for all m=1,2,…
https://en.wikipedia.org/wiki/Bayesian_linear_regression
BFGS is an optimization method for multidimensional nonlinear unconstrained functions. BFGS belongs to the family of quasi-Newton Method
convolutional neural networks
Basic and algorithmic differences between CV and SD
A survey between data reduction techniques for Image Recognition
Exploratory data analysis and multivariate statistical analysis for cancer data form Human
EM algorithm to estimate theta(theta1) iteratively
FFC
Multiphysics Finite Element library with Selective-Adaptive Mesh Refinement and Multigrid solvers
Gaussian Mixer model
Simulate data from a mixture of two bivariate Gaussian distributions , and find clustering
Gaussian Process Regression
Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository
Config files for my GitHub profile.
Machine Learning Techniques using python.
Comparative Study Among Frequentist and Bayesian Multiple Linear Regression