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Han Zhou's Projects

2014 icon 2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data icon 2014_data

Data directory for the CS109 Data Science course

alex icon alex

Alex Dialogue Systems Framework

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bluebook icon bluebook

This IPython Notebook contains a quantitative pricing model created for Fast Iron in the Kaggle competition 'Blue Book for Bulldozers'. The model predicts the sale price of a particular piece of heavy equipment so that Fast Iron can create a 'Blue Book' to enable customers to valuate their heavy equipment fleet at auction. Here python is used as a medium to apply supervised and unsupervised machine learning techniques to explain 88.90% of the variance observed in the training set and score an RMSLE of 0.745 when predicting values on the test set. In this competition 590 data scientists created predictive models based on a 'training dataset', provided by Fast Iron, and then used those models to predict sale prices on a 'test set' to compete for a $10,000 dollar award for the team or individual with the most accurate model. The model and methods used for my entry, which scored in the upper 20%, is shown in BlueBook.ipynb.

ccxt icon ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 130 bitcoin/altcoin exchanges

chatterbot icon chatterbot

ChatterBot is a machine learning, conversational dialog engine.

coursera icon coursera

Script for downloading Coursera.org videos and naming them.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-ipython-notebooks icon 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.

deeplearning-500-questions icon 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18个章节,近30万字。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

deeppavlov icon deeppavlov

An open source library for building end-to-end dialog systems and training chatbots.

dialog_corpus icon dialog_corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

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