Qin Yu (qinyugwu)

qinyugwu

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Company:CGI

Location:Washington, DC

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Qin Yu's starred repositories

missingno

Missing data visualization module for Python.

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interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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tableau_tools

Package containing Tableau REST API, XML modification, tabcmd and repository tools

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pdvega

Interactive plotting for Pandas using Vega-Lite

Language:PythonLicense:MITStargazers:344Issues:0Issues:0

gpdvega

gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data

Language:PythonLicense:BSD-3-ClauseStargazers:51Issues:0Issues:0

property-finder

A turnkey solution for a fictitious real estate business

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altair-tutorial

Notebooks for the Altair tutorial

Language:Jupyter NotebookLicense:MITStargazers:347Issues:0Issues:0

altair_data_server

A background data server for Altair charts.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:64Issues:0Issues:0

WebCrawling101

Ever wanted to learn the basics of writing a Web Crawler / Scraper ? Look no further !

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ServerlessCrawler-VancouverRealState

A Serverless Crawler For Real State Data in Vancouver Using AWS Lambda, Dynamo, RDS MySQL and CloudWatch

Language:PythonLicense:MITStargazers:80Issues:0Issues:0

USBuildingFootprints

Computer generated building footprints for the United States

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healthcareai-py

Python tools for healthcare machine learning

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healthcareai-r

R tools for healthcare machine learning

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black

The uncompromising Python code formatter

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production-tools

A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.

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autoimpute

Python package for Imputation Methods

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machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

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dask-examples

Easy-to-run example notebooks for Dask

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pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:4114Issues:0Issues:0

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1306Issues:0Issues:0

blazingsql

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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SynapseML

Simple and Distributed Machine Learning

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sparse_dot_topn

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

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Keras_Deep_Clustering

How to do Unsupervised Clustering with Keras

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Data-Analysis

Data Science Using Python

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deep-learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

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jupyterlab-configuration

Containerized and Script-controlled JupyterLab Project Environment

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usaspending-api

Server application to serve U.S. federal spending data via a RESTful API

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lending_loan_prediction

The purpose of this project is to process the dataset, analyze it, do some feature engineering and finally make a predictive loan model for an applicant.

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