susanqisun Goto Github PK

100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aix360

Interpretability and explainability of data and machine learning models

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cardiac-arrest-prediction

End to end Machine Learning model for cardiac arrest prediction

case-study

climb_recommender

Content based rock climbing route recommender. Link to live website -> https://rockclimbing-recommender.herokuapp.com

content-based-recommendation-engine

data-science-from-scratch

code for Data Science From Scratch book

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-notes

数据科学的笔记以及资料搜集

dav-6150

dav6300

deeplearning-models

A collection of various deep learning architectures, models, and tips

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

fastai

The fastai deep learning library, plus lessons and tutorials

gold-miner

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

hands-on-exploratory-data-analysis-with-python

Hands-on Exploratory Data Analysis with Python, published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

independent_study

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

interview

Interview = 简历指南 + LeetCode + Kaggle

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

ipython-notebooks

A collection of IPython notebooks covering various topics.