Pinned Repositories
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
2014_data
Data directory for the CS109 Data Science course
2015
Public material for CS109
2015lab1
2015lab10
2015lab11
Overview of a project: Food Inspection Forecasting
2015lab2
2015lab3
machine-learning
Code & Data for Introduction to Machine Learning with Scikit-Learn
mooc-web-scraping-and-data-analysis
本课程面向具有Python编程基础的各类学习者，讲解利用Python语言爬取网络数据并提取关键信息的技术和方法，帮助学习者掌握定向网络数据爬取和网页解析的基本能力。
blair2017's Repositories
blair2017/mooc-web-scraping-and-data-analysis
本课程面向具有Python编程基础的各类学习者，讲解利用Python语言爬取网络数据并提取关键信息的技术和方法，帮助学习者掌握定向网络数据爬取和网页解析的基本能力。
blair2017/2015
Public material for CS109
blair2017/blair2017.github.io
:ramen: Minimalist Jekyll Template
blair2017/blog.io
简单直接可用博客模板
blair2017/blog_by_hugo
A hugo blog
blair2017/Bone-Turnover
blair2017/cs231n.github.io
Public facing notes page
blair2017/curriculum
The Open Source Data Science Masters
blair2017/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
blair2017/Data-Science-Notes
数据科学的笔记以及资料搜集
blair2017/datasci_course_materials
Public repository for course materials for the Data Science at Scale Specialization at Coursera
blair2017/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
blair2017/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
blair2017/Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
blair2017/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
blair2017/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
blair2017/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
blair2017/MS-in-statistics
My main class notes when i study in statistics for a master in university of Glasgow
blair2017/nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
blair2017/nlu-hyperopt
blair2017/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
blair2017/python-exe-unpacker
A helper script for unpacking and decompiling EXEs compiled from python code.
blair2017/Python-Offer
《剑指Offer》面试题Python实现
blair2017/Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
blair2017/rpy2_sample_notebooks
Some sample notebooks using R commands within Python through rpy2 module
blair2017/spark
Mirror of Apache Spark
blair2017/temp2
:art: A simple and clean responsive Jekyll theme for words and photos.
blair2017/test
blair2017/we
A Modern, Clean, Jekyll Blog Layout based from codedrops
blair2017/weifand1.github.com
My personal blog.Microdust 微尘