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Name: Takeshi Sugiyama
Type: User
Location: Nagoya, Japan
Name: Takeshi Sugiyama
Type: User
Location: Nagoya, Japan
Answers to 120 commonly asked data science interview questions.
A curated list of resources for graph databases and graph computing tools
Classifying cancer images with convolutional neural networks
To be completed by applicants in preparation to meet the bar for admissions into the Galvanize Data Science Immersive
This is my first Github Repository
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
A script to download the ISIC Archive of lesion images
Mongo DB
Moneyball in NBA: Predicting NBA player salary
This is for practice
Python analysis of 10 highest paid NBA players from 2005-2014
R analysis of movies for the years 2007-2011.
Python analysis of world-trends comparing 1960 and 2012.
This is a apriori model to analyze top selling items in a grocery market using Python.
This is a decision tree classification model to classify and predict social network ad performance using Python.
This is a decision tree regression model to estimate the ideal salary for a candidate using Python.
This is a hierarchical clustering model to cluster a mall's customer data using Python.
This is a K-means clustering model to cluster a mall's customer data using Python.
This is a K Nearest Neighbors(K-NN) model to classify and predict social network ad performance using Python.
This is a Kernel Support Vector Machine (SVM) model to classify and predict social network ad performance using Python.
This is a logistic regression model to classify and predict social network ad performance using Python.
This is a multiple linear regression model to analyze 50 startups in Python.
This is a Naive Bayes model to classify and predict social network ad performance using Python.
This is a natural language processing model to analyze and predict restaurant reviews using Python.
This is a polynomial regression model to estimate the ideal salary for a candidate using Python.
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.