FahadMostafa91

Machine_Learning_in_python

Config files for my GitHub profile.

Multiple_Linear_Regression

Multiple Linear Regression, its Statistical Analysis, and Application in Energy Efficiency. Exploratory analysis; model selection; MLR; K fold cross-validation

Liver_disease_detection_by_Machine_learning

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

Richardson_extrapolation

Runge_Kutta_order-4

steepest_descent

functional_iteration

Gram_Schmidth_process

Monte_Carlo_Simulation

Multivariate_Newton_Raphson

OpenIntro

Data sets (and perhaps other utilities) to accompany Open Intro Stats with Randomization and Simulation