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Repository of all completed projects during the "AI for Trading" Nanodegree
Deep Learning based classification model to classify products on Amazon, using product image, text title and brand name
This project seeks to apply machine learning algorithms to Android malware classification.
ANOVA for neural networks
This is the code notebook for the blog post on using Python and Auto ARIMA
Repository with required files for automated ML worshops
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.
Convolutional neural network overview and exploration in Jupyter Notebooks
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Course Files for Complete Python 3 Bootcamp Course on Udemy
Cornell CS5780 2018 Spring
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Introduction to Git for Data Science by Greg Wilson
Introduction to Python by Filip Schouwenaars
Introduction to R by Jonathan Cornelissen
Intro to SQL for Data Science by Nick Carchedi
Introduction to Shell for Data Science by Greg Wilson
Convolutional Neural Networks
Apps hosted in the Dash Gallery
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.
Code, Documents and Slides for Hack Session: ML Models in Production using Flask & Docker
Data Science Projects Completed By Me
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
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.