psyche911 Goto Github PK
Name: DMAO-MQ
Type: User
Company: MQU
Bio: Do not follow where the path may lead. Go instead where there is no path and leave a trail.
Location: Sydeney
Name: DMAO-MQ
Type: User
Company: MQU
Bio: Do not follow where the path may lead. Go instead where there is no path and leave a trail.
Location: Sydeney
100 Days of ML Coding
100 Days of Code - The Complete Python Pro Bootcamp for 2024
Course materials and handouts for #100DaysOfCode in Python course
12 Weeks, 24 Lessons, AI for All!
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Automation of BI Reporting
A complete computer science study plan to become a software engineer.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
DataMining MATH5836 @UNSW
Support for Data Science and Machine Learning course @UNSW
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
App showing all the emoji shortcodes supported by Streamlit
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
My own leetcode solutions by python
🎓Leetcode solutions in Python 📚
《统计学习方法》的代码实现
《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
机器学习算法python实现
This will be the web version of the smoothie order form.
12 weeks, 24 lessons, classic Machine Learning for all
Machine learning, in numpy
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
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.