gregoryperkinsja2016 Goto Github PK

brain-tumor-detection-using-cnn

This is an implementation of a classification model to detect Glioblastoma (Brain Tumor) from MRI images. To do this implementation, we have used convolutional neural network & constructed a CNN model that yields moderate accuracy.

breast-cancer-wisconsin

Building Machine Learning Model to predict whether the cancer is benign or malignant on Breast Cancer Wisconsin Data Set

cancertypeprediction

This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

cardiovascular_heart_disease

cardiovascular_heart_disease

characterization-of-binary-machine-learning-classifier-for-robust-heart-disease-prediction

Large number of patients related data is stored and maintained in the health industry. Heart disease is the most common one nowadays. The different ways of predicting it are Electrocardiogram (ECG), stress test, and Heart MRI. Here, the proposed model uses 13 parameters for the prediction of heart disease that includes heart rate, chest pain, cholesterol level, blood pressure, Age etc. The aim of this model is to predict whether heart disease is present or not using the various machine learning models such as Decision Tree, Random Forest, Logistic Regression, Naïve Bayes. We have achieved 0.3312 log loss using the Logistic Regression.

dataquest-projects

My solutions to projects found on dataquest.io

gbm-robustradiomics

Code accompanying the paper "Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques"

gregoryperkinsja2016

Config files for my GitHub profile.

he2rna_code

Train a model to predict gene expression from histology slides.

heart-disease-prediction

Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease

heart-disease-prediction-using-machine-learning

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

heart-disease-prediction-using-machine-learning-ensemble

heart_disease_prediction

Heart Disease prediction using 5 algorithms

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

microarray-classification

DNA Microarray Gene Expression Data Classification Using SVM and MLP with Feature Selection Methods Relief and LASSO

mri

Prediction of Pseudo-progression and Progression using Machine Learning Algorithms in Glioblastoma using Magnetic Resonance Imaging

node-status-prediction-breast-cancer

Use ML tools and proteomic data to predict lymph-node involvement status for women with breast cancer

udacity-mlnd-capstone-breast-cancer-proteomics

Machine Learning Nanodegree Capstone Project looking to predict staging of Breast Cancer patients from Protein Expression Data