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Name: Ace
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Name: Ace
Type: User
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
Credit card fraud detection for any transaction. Used a dataset and created a 'credit score' for a customer. Tried to implement Deep learning libraries for effective prediction.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
List of Computer Science courses with video lectures.
BreadBasket
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Code repository for D3.js 4.x Data Visualization by Packt
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
Data Science at the Command Line
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Guided Projects by DataQuest
Data Science Course
Repo for John Hopkins Data Science Specialization
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
common data analysis and machine learning tasks using python
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
Data Structures - Graphs, Trees, Searching, etc.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning for Computer Vision, by Packt
Code repository for Deep Learning with Keras published by Packt
R notebooks for the code samples of the book "Deep Learning with R"
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Repo for the Deep Reinforcement Learning Nanodegree program
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
This is the 3rd part of the DeepLearning series
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.