thisisreallife

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

Classroom

Content for running instances of STAT 545/547M at UBC

course-v3

The 3rd edition of course.fast.ai

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)

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Dive-into-DL

dive into deep learn course

DSSM

基于movieLen1M数据集的DSSM深度召回实验

Elementary-Algorithms-with-python

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

Leetcode

Leetcode,using python

Machine-Learning

讲解常见的机器学习算法

Medium

A repository for code used in Medium Articles

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

uplift_modelling