Travis's repositories
automate-the-boring-stuff-with-python
My code and note for this book
Python_notes
Notes about Python functions
Algorithm-Using-Python
Algorithm from scratch
fluent-python
《流畅的Python》2015年8月
Loan-Prediction
Loan prediction for analyticsvidhya competition
numpy100solutions
my numpy 100 exercise solutions
Reusable-Python-Code
My collection of useful python code
Udacity_Notes
Notes and code with Udacity courses
2018-hashcode-score
compute score for Hash Code 2018 qualification round
AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
d2l_notes
My notes and revised code for dive into deeplearning second edition
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Dive-into-DL
dive into deep learn course
Halfrost-Field
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
Hungyi_Lee_ML2017
2017 machine learning materials for Hungyi_Lee
Interpreting-Machine-Learning-Models
Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
Machine-Learning
讲解常见的机器学习算法
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
mytest-for-git
sample repo for git learning
nlp_course
YSDA course in Natural Language Processing
PyconUS_2019-model-interpretability-tutorial
Content for the Model Interpretability Tutorial at Pycon US 2019