吴恩达机器学习课程笔记 。

Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images

斯坦福吴恩达教授在Coursera上的机器学习课程的课件，作业及鄙人的笔记。

Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani

This repository contains machine learning algorithms developed by me and/or my team.

Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.

Material for my one-day tutorial at ESOBE2017

Rigorous Tutorial on MATLAB for Machine Learning + Projects: 2 hour course @mathworks イ

Machine learning codes for the course "Basics of Mathematics in Machine Learning I" given in January-March 2021 at University of Helsinki, Finland.

Machine Learning course from Stanford University on Coursera

[COMPLETED] - It contains the solved exercises for the basic machine learning course all solved by me. If you're getting help from my code. Please star the repo.

K Nearest Neighbor and Condensed KNN Algorithm

A machine learning project that I worked on in Summer 2019 during my internship where I used MATLAB to train AlexNet to perform facial recognition in real-time to identify people. This was my first time using MATLAB.

programming assignment solutions of Coursera Machine Learning course by Stanford University

Flappy Bird now learns and flys in MATLAB. With Neuroevolution.

Machine Learning Using Matlab By Stanford University

This Repository contains Matlab Solutions to the Course and Course Notes as a PDF.

A repository of several Machine Learning Exercises that I completed of Andrew NG's course on Machine Learning

This model creates to check the quality of tea leaves. To build this model used only Matlab and deep learning tool named ResNet50.