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Here we try to analyze IKEA Product Analysis and create Model for Product Price Prediction Using Linear Regression Model
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Assignments and Projects for Introduction for Machine Learning and Data Mining
Notebooks and code for the book "Introduction to Machine Learning with Python"
Predict intrusive network connections with data mining classification methods - KNN (K nearest neighbor), TAN (Tree Augmented Naïve Bayesian), CART (Classification and Regression and Trees) and C5.0 (Decision Trees) - and compare their predictive accuracies for intrusion.
Classify Flowers using neural networks
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
🔎 互联网内推信息(社招、校招、实习)
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
Config files for my GitHub profile.
Implementation of ML models
A collection of jupyter notebooks to practice and learn pythonic codes and get things done!
Educational resources to learn to program (Foundation in Web Development)
This code files are created to learn golang for the beginners.
Becoming better at data science every day
Code repo for Learning Data Mining with Python, published by Packt Publishing
Tutorials from the book
Tracking, notes and programming snippets while learning predictive analytics
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Lifestyle Pattern Mining (Predict sleep concerning daily diet and activities)
Link prediction in social network - Friend TNS algorithm
Literature for the self-taught AI practitioner! 📚
:earth_americas: machine learning tutorials (mainly in Python3)
Practical Full-Stack Machine Learning
涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
A collection of machine learning examples and tutorials.
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.