cdingding
I am a PhD with proficiency at both supervised and unsupervised machine learning, python programming, big data engineering with Spark, statistics, and etc..
Internet SoftwareSanta Clara
Pinned Repositories
2015
Public material for CS109
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
apache-toree-quickstart
Apache Toree quickstart tutorial
DeepLearning
Deep Learning (Python, C, C++, Java, Scala, Go)
exercises
Python exercises for data science
kaggle-pycon-2015
Solution code from my winning submission to Kaggle's PyCon 2015 competition
pandas-exercises
Walkthrough exercises from PandasTutorial by Wes McKinney.
RuntimeAnalysis
Use find_anagrams as an example to do runtime analysis
Wecare
A new way to use the Reddit website ...
cdingding's Repositories
cdingding/MachineLearning-Stanford
Study
cdingding/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
cdingding/Udemy---Machine-Learning
Notebooks for Course
cdingding/python-reference
Python 2.7 Quick Reference
cdingding/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
cdingding/python_reference
Useful functions, tutorials, and other Python-related things
cdingding/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
cdingding/word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
cdingding/Lessons-Learned-Data-Science-Interviews
Lessons learned the hard way through over 30+ data science interviews
cdingding/awesome-python
A curated list of awesome Python frameworks, libraries and software
cdingding/free-programming-books
freely available books
cdingding/LearnDataScience
Open Content for self-directed learning in data science
cdingding/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
cdingding/Statistics-Notes
iPython NOtebooks on Stats
cdingding/intro-to-python
Introduction to Python (2014)
cdingding/gadsdc
General Assembly Data Science DC
cdingding/kaggle-pycon-2015
Solution code from my winning submission to Kaggle's PyCon 2015 competition
cdingding/git-and-github
An introduction to git.
cdingding/pandas-exercises
Walkthrough exercises from PandasTutorial by Wes McKinney.
cdingding/Opinion-Mining-Project
Feature-Based Sentiment Analysis in Python
cdingding/content
Official content for Harvard CS109
cdingding/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 ;)
cdingding/distribute_crawler
使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现
cdingding/khan-academy-probability-statistics-ipynb
A collection of iPython Notebooks that follow the Khan Academy Probability and Statistics curriculum.
cdingding/Stanford-Machine-Learning-Course
machine learning course programming exercise