All Projects → learnml → Machine Learning Specialization

learnml / Machine Learning Specialization

Projects that are alternatives of or similar to Machine Learning Specialization

Ada Build
The Ada Developers Academy Jump Start program, which is intended for anyone who is interested in beginning their journey into coding.
Stars: ✭ 551 (-2.65%)
Mutual labels:  jupyter-notebook
Data Analysis And Machine Learning Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Stars: ✭ 5,166 (+812.72%)
Mutual labels:  jupyter-notebook
Practical seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Stars: ✭ 563 (-0.53%)
Mutual labels:  jupyter-notebook
Numerical Tours
Numerical Tours of Signal Processing
Stars: ✭ 553 (-2.3%)
Mutual labels:  jupyter-notebook
Qs ledger
Quantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (-1.24%)
Mutual labels:  jupyter-notebook
Mellotron
Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
Stars: ✭ 560 (-1.06%)
Mutual labels:  jupyter-notebook
Deepnlp Course
Deep NLP Course
Stars: ✭ 551 (-2.65%)
Mutual labels:  jupyter-notebook
Hands On Machine Learning For Algorithmic Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Stars: ✭ 562 (-0.71%)
Mutual labels:  jupyter-notebook
Data Science Portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-1.24%)
Mutual labels:  jupyter-notebook
Wenzheng
ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
Stars: ✭ 561 (-0.88%)
Mutual labels:  jupyter-notebook
Tf Dann
Domain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (-1.77%)
Mutual labels:  jupyter-notebook
Gs Quant
Python toolkit for quantitative finance
Stars: ✭ 556 (-1.77%)
Mutual labels:  jupyter-notebook
Datasciencecourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Stars: ✭ 557 (-1.59%)
Mutual labels:  jupyter-notebook
Torch Residual Networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Stars: ✭ 553 (-2.3%)
Mutual labels:  jupyter-notebook
Pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Stars: ✭ 563 (-0.53%)
Mutual labels:  jupyter-notebook
Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Stars: ✭ 552 (-2.47%)
Mutual labels:  jupyter-notebook
Influence Release
Stars: ✭ 559 (-1.24%)
Mutual labels:  jupyter-notebook
Detectorch
Detectorch - detectron for PyTorch
Stars: ✭ 566 (+0%)
Mutual labels:  jupyter-notebook
Fastcore
Python supercharged for the fastai library
Stars: ✭ 565 (-0.18%)
Mutual labels:  jupyter-notebook
Prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
Stars: ✭ 560 (-1.06%)
Mutual labels:  jupyter-notebook

Machine Learning Specialization

Datasets

Course 1

amazon_baby

home_data

image_test_data

image_train_data

people_wiki.gl

song_data


#### Course 2 * https://s3.amazonaws.com/static.dato.com/files/coursera/course-2/kc_house_data.gl.zip

References

More information on the Amazon data set may be found here as well as in the following paper.

Inferring networks of substitutable and complementary products
J. McAuley, R. Pandey, J. Leskovec
Knowledge Discovery and Data Mining, 2015
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].