Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Try BPNN on mnist. BP 神经网络识别中文数字
Here is a small collection of how to use MATLAB to solve Machine Learning challenges
Removal of stains from documents by providing dirty and clean images as data-sets for the model to learn and the model would clean the test images by observing results from the training dataset using Linear Regression.
This project predicts the price of houses based on a training dataset with 79 features. The project combines what I've learned in the Google Data Analytics course and a machine learning course from Coursera
Linear Regression using Matlab on a Kaggle dataset.
The Kaggle Facial Keypoints Detection Competition
MSc in Mathematical Modelling - Modelling Workshop
Using Artificial Neural Networks to solve the MNIST Challenge on Kaggle
The goal of this project is predicting the survival of passengers based on a set of data. Necessary data is retrieved from Kaggle competition "Titanic: Machine Learning from Disaster".
The Kaggle Digit Recognizer Competition
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