engcheeching Goto Github PK
Name: Eng Chee Ching
Type: User
Bio: Machine Learning Engineer
Location: Kuala Lumpur, Malaysia
Name: Eng Chee Ching
Type: User
Bio: Machine Learning Engineer
Location: Kuala Lumpur, Malaysia
A python visualization of the A* path finding algorithm. It allows you to pick your start and end location and view the process of finding the shortest path.
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Automated feature engineering in Python with Featuretools
A curated list of awesome Deep Learning tutorials, projects and communities.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
学习记录的一些笔记,以及所看得一些电子书eBooks、视频资源和平常收纳的一些自己认为比较好的博客、网站、工具。涉及大数据几大组件、Python机器学习和数据分析、Linux、操作系统、算法、网络等
科赛 携程出行产品未来14个月销量预测 第2名
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Cheat Sheets
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Deep Learning Specialization, TensorFlow in Practice, Machine Learning Courses Assignments
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Feature selector is a tool for dimensionality reduction of machine learning datasets
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
Multivariate Time-Series Problem: To forecast the Grab riding demand over the 1329 geohash coordinates in each 15-min time frame
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.
2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
关于Python的面试题
Everything you need to know to get the job.
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.
testing scikit-learn Isolation Forest
Develop Dash apps in the Jupyter Notebook and JupyterLab
Private Leaderboard Score Rank: 231 / 2257 Teams
Private Leaderboard Score Rank: 409 / 3511 Teams
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
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.