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100 Days of ML Coding
100+ python programming exercise problem discussed ,explained and solved in different ways
Demo code and resources for our 100 Days of Web in Python Course
Coursera Specialization
Solutions to AIMA (Artificial Intelligence: A Modern Approach)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
This is a R-Shiny app which classifies Amazon reviews as real or fake simply by pasting the product URL.
A product comparison tool for Amazon.com
Apache Spark 2x for Java Developers, published by Packt
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
My solutions to the UC Berkeley AI Pacman Projects
New York Police Complaints Analysis
Building Recommender Systems with Machine Learning and AI, published by Packt
Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset
cloudbigdata-extras
Solutions to all quiz and all the programming assignments!!!
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Machine learning-Stanford University
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Documents produced by the CSV on the Web Working Group
Elenco di ontologie e vocabolari controllati. Per maggiori informazioni, si veda il readme principale e quello di singoli vocabolari/ontologie, ove presente, e la seguente documentazione
Cheat Sheets
Data Science Tutorials
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
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.