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Name: Paul DeVos
Type: User
Bio: Data & AI Engineer - Python, Sports Analytics, NBA History, Behavioral Economics, NLP, CV, YOLO
Name: Paul DeVos
Type: User
Bio: Data & AI Engineer - Python, Sports Analytics, NBA History, Behavioral Economics, NLP, CV, YOLO
O'Reilly Katacoda
Developing a Lambda Architecture pipeline using Apache Kafka, Spark Structured Streaming, Redshift, S3, Python
Serverless Reference Architecture for creating an IoT Backend
Tutorials on how to use pandas effectively to do data analysis
Finding the least and most deserving MVPs of the past decade
This is a repo of tools I use to help be more productive and track my performance, learning, and many other things in effort to improve
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-point) linkedin excel test lรถsungen, linkedin machine learning test
A library that scrapes Linkedin for user data
Realtime maps with Kafka, Python and Leaflet.js
Deceptive Deep Learning Models for Predicting the Price of Bitcoin
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Collection of useful machine learning codes and snippets (originally intended for my personal use)
A booklet on machine learning systems design with exercises
Python code for common Machine Learning Algorithms
A collection of machine learning examples and tutorials.
Mastering Machine Learning Algorithms Second Edition, published by Packt
Mastering Object-Oriented Python - Second Edition, published by Packt
Implementation of Markov Chain Monte Carlo in Python from scratch
Repository containing notebooks of my posts on Medium
Study guides for MIT's 15.003 Data Science Tools
Using machine learning to predict the All-NBA teams
Machine learning cheatsheet
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Machine Learning in Production
Machine learning utility functions and classes.
Introduction to scikit-learn: Machine Learning in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.