Machine Learning course assignment in coursera
-
Updated
Apr 3, 2017 - MATLAB
Machine Learning course assignment in coursera
AndrewNG - Machine Learning Course (Stanford) exercises
Solutions to Andrew NGs programming assignments on coursera
Deep Learning Specialization by Andrew Ng on Coursera
This repository contains all pdfs and solutions for assignments for the Course of Machine Learning by Andrew Ng
Neural Networks and Deep Learning repository for all projects and programming assignments of Course 1 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain.
Course content related to Machine Learning Specialization by Andrew Ng
Build and applied a deep neural network to supervised learning.
Stanford 2008
These are my solutions for the Deep Learning Specialization, which have been assessed and achieved a perfect score of 100%.
Backup files of Specializations/Courses for Machine Learning preparation.
This is my SEM_5 machine learning repo full of things that i learned through out my IML (Introduction to ML) subject.
I have been working on a logistic regression project from scratch, without relying on external libraries like scikit-learn, to predict whether a patient has breast cancer or not. Typically, breast cancer is classified into two categories: malignant (positive) and benign (negative).
Assignments for the Coursera - deeplearning.ai specialization courses
Neural Networks and Deep Learning course by DeepLearning.ai
Implemented gradient descent and cost function for logistic regression from scratch using numpy
My coursework for the "Deep Learning" specialization offered by DeepLearning.AI on Coursera
Add a description, image, and links to the andrew-ng topic page so that developers can more easily learn about it.
To associate your repository with the andrew-ng topic, visit your repo's landing page and select "manage topics."