Pyhton notebook based on: Programming assignment 3 from Hinton's Neural Networks course from coursera https://www.coursera.org/learn/neural-networks
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Updated
Jun 23, 2017 - Jupyter Notebook
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Pyhton notebook based on: Programming assignment 3 from Hinton's Neural Networks course from coursera https://www.coursera.org/learn/neural-networks
This is a repository for the assignment iPython notebooks for the Introduction to Data Science with Python, the first course in the Applied Data Science Specialization by the University of Michigan.
My solutions to Andrew Ng's Machine Learning on Coursera, implemented in python.
Python-based solution notebooks for programming assigments on Coursera
This repository contains Ipython notebooks of assignments and tutorials completed during Introduction to Data Science in Python course offered by University of Michigan.
This is my repo for the notebooks from DeepAI classes, and notes from @wan Zhen and @TessFerrandez
Coursera Deep Learning Notebooks
Completed notebooks from the Coursera deep learning specialisation
The jupyter notebooks of the deep learning specialization by deeplearning.ai
My submissions to the Deep Learning course from deeplearning.ai on Coursera
📓 Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org
Learning notebooks from Coursera
All practice notebooks made in google colab
Solution notebooks of https://www.coursera.org/specializations/mathematics-machine-learning
Coursera's TensorFlow in Practice Specialization notebooks.
Solution notebooks of https://www.coursera.org/specializations/reinforcement-learning
My solution to the Predict Future Sales competition with was the final project of the 'How to Win a Data Science Competition: Learn from Top Kagglers' course on Coursera
Created by Andrew Ng, Daphne Koller
Released April 2012