Eng Chee Ching's repositories
jupyter-dash
Develop Dash apps in the Jupyter Notebook and JupyterLab
YouTubeLI
Github repo to upload demo files of youtube videos and linkedin
scikit-learn
scikit-learn: machine learning in Python
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
PRML
PRML algorithms implemented in Python
machine_learning_examples
A collection of machine learning examples and tutorials.
Deep-Learning-For-Hackers
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)
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。
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.
AI-Job-Notes
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）
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.
Kaggle_Competition_Otto-Group-Product-Classification-Challenge
Private Leaderboard Score Rank: 409 / 3511 Teams
Kaggle-Competition-Restaurant-Revenue-Prediction
Private Leaderboard Score Rank: 231 / 2257 Teams
Interview-Questions
Most comprehensive list :clipboard: of tech interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
Data-Science--Cheat-Sheet
Cheat Sheets
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
interview_python
关于Python的面试题
pms50
python可视化50图解读（pms50），在线阅读地址：https://datawhalechina.github.io/pms50/
interviews
Everything you need to know to get the job.
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
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
deeplearning_courses_assignment
Deep Learning Specialization, TensorFlow in Practice, Machine Learning Courses Assignments
data-science-career
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
Python-programming-exercises
100+ Python challenging programming exercises
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos