jzhufd Goto Github PK

-learning-materials-

各种学习资料，包括一些百度云视频链接还有pdf资料

100-days-of-ml-code

100-Days-Of-ML-Code中文版

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-fraud-detection

applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

autoencoders_keras

Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.

avazu-click-through-rate-prediction

Exploratory Data Analysis and Machine learning to predict click through

aws-deepcomposer-samples

aws-deepracer-workshops

DeepRacer workshop content

bert

TensorFlow code and pre-trained models for BERT

book

关于技术类的电子书，为了去中心化，保存在git上，不至于丢失，[侵删]

books

cracking-the-data-science-interview

Ultimate Guide to Data Science Interview

cs229

Stanford CS229 (Autumn 2017)

deep-conv-attr

Implementation of Deep Conversion Attribution with Dual-attention Recurrent Neural Network

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dien

dlrm

An implementation of a deep learning recommendation model (DLRM)

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

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

jerky_backup

A free and open-source Jekyll theme. Great for blogs and easy to customize.

jupyter2slides

Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

jzhufd.github.io

Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kaggle-avazu-1

kaggle-web-traffic

1st place solution