Pinned Repositories
App
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
cufflinks
Productivity Tools for Plotly + Pandas
Data_Structure_Algorithm
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning_Exercise
Project folder for Deep Learning
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
Hands-on-ML-Projects
projects and coding exercise for hands-on machine learning with sklearn, keras and tensorflow
Kaggle-Competition
Kaggle Competition Project Folder
Small_ML_Projects
shineloveyc's Repositories
shineloveyc/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
shineloveyc/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
shineloveyc/Kaggle-Competition
Kaggle Competition Project Folder
shineloveyc/quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
shineloveyc/Small_ML_Projects
shineloveyc/App
shineloveyc/Data_Structure_Algorithm
shineloveyc/Deep-Learning_Exercise
Project folder for Deep Learning
shineloveyc/Hands-on-ML-Projects
projects and coding exercise for hands-on machine learning with sklearn, keras and tensorflow
shineloveyc/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
shineloveyc/Airbnb-Boston-Review
shineloveyc/algorithm-pattern-python
Python version of algorithm-pattern
shineloveyc/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
shineloveyc/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
shineloveyc/aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
shineloveyc/coding-interview-university
A complete computer science study plan to become a software engineer.
shineloveyc/CS61B
shineloveyc/data-science-question-answer
A repo for data science related questions and answers
shineloveyc/DS_take_home_challenge
coding for Data Science Take Home Challenge
shineloveyc/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.
shineloveyc/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
shineloveyc/mice_workshop
Materials for a workshop using MICE in Statsmodels
shineloveyc/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
shineloveyc/pyforest
pyforest - feel the bliss of automated imports
shineloveyc/Python-Automation-Cookbook
Python Automation Cookbook, published by Packt
shineloveyc/python-guide
Python best practices guidebook, written for humans.
shineloveyc/shineloveyc.github.io
my DS project page
shineloveyc/skeleton-sp19
shineloveyc/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
shineloveyc/webdataconnector
Bring the data you care about into Tableau