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A Course in Machine Learning
Analytical Web Apps for Python & R. No JavaScript Required.
Data Visualization with Python
Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng on Coursera.
書籍「つくりながら学ぶ!深層強化学習」のサポートリポジトリです
Hands-on Deep Reinforcement Learning, published by Packt
Repository to collect my experiment for an hybrid recommender system, based on Keras
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks
An implementation of a deep learning recommendation model (DLRM)
Source code for James Lee's Docker course
Simple but useful Python web scraping tutorial code.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Exercícios do Livro Introduction to Econometrics - Jeffrey Wooldridge
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Content and associated scripts for a article on evaluating multi-class classifier for an internal journal
Methods of data exploration and visualization using Python.
A python script for conversion of arithmetic expressions from infix notation to Reverse Polish Notation (RPN) using Dijkstra's Shunting Yard Algorithm
Open source book: Geocomputation with R
A guide for downloading Twitter data using the Python package GetOldTweets
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet
This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with 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.