Chollette Olisah's repositories
Liver-Disease-Classification-Azure-ML-Capstone-Project
This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.
2GDNN-for-Diabetes-Prediction-and-Diagnosis
Diabetes-Mellitus-Prediction-and-Diagnosis-from-a-Data-Preprocessing-and-Machine-Learning-Perspectiv
fuel-consumption-end-to-end-ml
End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.
KMeans-Clustering-Food-Recomendation
This is a mini-project created in response to the "Microsoft Azure Scholarship Project Showcase Challenge" for recommending "safe food" for patients suffering from a number of killer-diseases at the same time.
Diabetes-Prediction_Mining-and-Machine-Learning
Diabetes prediction with PIMA Indian Diabetes Data set achieving over 96% accuracy
3dmm_cnn
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Apple-detection
An investigation to the apple detection problem through the deployment of the RetinaNet object detection framework.
Azure-Machine-Learning-Bank-Marketing-Classification
This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to utilize Azure Machine Learning Studio and Azure Python SDK to create classifier models from scratch. The files and documentation with experiment instructions needed for replicating the project is provided for you.
Azure-ML-StudioProject_Operationalizing-Machine-Learning
This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree. It demonstrates the End-to-End Deployment of a classification model. It contains files and documentations with experiment instructions for replicating the project.
dcgan_code
Deep Convolutional Generative Adversarial Networks
Pre-VFall-Vision-Sensor-Simulated-Early-Signs-of-Fall-Dataset
Fall Detection Dataset
SEDNet_Shallow-Encoder-Decoder-Network-for-Brain-Tumor-Segmentation
Official Implementation for SEDNet
fastai_deep_learning_course_part2_v3
My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
keras-yolo3
Training and Detecting Objects with YOLO3
ud777-writing-readmes
Supplemental material for Udacity's "Writing READMEs" course