FAHAD MOSTAFA's starred repositories
image-processing-graph-laplacian
Image Processing using Graph Laplacian Operator
SIAMBookCodes
MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley
pca_kmeans_matlab
An assignment in which dimension reduction is applied with PCA, clustering with k-means algorithm and classification with Naive Bayes Classifier. Implemented in MATLAB, using the MNIST dataset.
Applied-Deep-Learning-with-Keras
Deep Learning examples with Keras.
OneSpectralClustering
Graph-based clustering using the inverse power method for nonlinear eigenproblems
Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
SpectralCluster
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
APTOS2019BlindnessDetection
:3rd_place_medal: (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.
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
Machine_learning_short_review
Machine Learning Techniques using python.
Post-Genomic-Analysis
Gene expression analysis of hepatocellular carcinoma and comparison between Random forest and Support vector machine classifiers