engcheeching Goto Github PK

followers: 2.0 following: 11.0 repos: 51.0 gists: 0.0

Name: Eng Chee Ching

Type: User

Bio: Machine Learning Engineer

Location: Kuala Lumpur, Malaysia

Blog: linkedin.com/in/eng-chee-ching-05742712a

Eng Chee Ching's Projects

a-path-finding-visualization

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.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-interviews

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

coding-now

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

d2l-zh

《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。

data-science-career

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)

deeplearning_courses_assignment

Deep Learning Specialization, TensorFlow in Practice, Machine Learning Courses Assignments

dive-into-dl-pytorch

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

Feature selector is a tool for dimensionality reduction of machine learning datasets

flow-shop-scheduling-based-on-reinforcement-learning-algorithm

Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

grab-ai-for-sea---traffic-management-challenge

Multivariate Time-Series Problem: To forecast the Grab riding demand over the 1329 geohash coordinates in each 15-min time frame

handson-ml2

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.

hangzhou_house_knowledge

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-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

interview-questions

Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

interview_python

关于Python的面试题

interviews

Everything you need to know to get the job.

iot-predictive-analytics

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.

engcheeching Goto Github PK

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