pourya-ir

pourya-ir's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript118k2.1k10214.7k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.7k2.3k1159.9k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.1k2748663.1k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.9k1174.2k651

• VowpalWabbit/vowpal_wabbit

  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

  Language:C++8.5k3521.3k1.9k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.4k1705311.2k

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.3k1581k879

• python-visualization/folium

  Python Data. Leaflet.js Maps.

  Language:Python6.9k1631.1k2.2k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k144447729

• microsoft/SynapseML

  Simple and Distributed Machine Learning

  Language:Scala5.1k145728833

• gboeing/osmnx

  OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

  Language:Python4.9k115660826

• holoviz/datashader

  Quickly and accurately render even the largest data.

  Language:Python3.3k90581366

• Yelp/mrjob

  Run MapReduce jobs on Hadoop or Amazon Web Services

  Language:Python2.6k1091.3k587

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k9751769

• databricks/spark-deep-learning

  Deep Learning Pipelines for Apache Spark

  Language:Python2k158106494

• bckenstler/CLR

  Language:Jupyter Notebook1.2k2318247

• andrea-cuttone/geoplotlib

  python toolbox for visualizing geographical data and making maps

  Language:Python1k5746175

• d6t/d6tflow

  Python library for building highly effective data science workflows

  Language:Python952242377

• gmplot/gmplot

  Plot data on Google Maps, the easy way.

  Language:Python8293999258

• kundajelab/deeplift

  Public facing deeplift repo

  Language:Python8233789164

• h2oai/driverlessai-recipes

  Recipes for Driverless AI

  Language:Python2391022594

• flowlight0/talkingdata-adtracking-fraud-detection

  My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)

  Language:Python2288458

• charlieg/A-Smattering-of-NLP-in-Python

  A very brief introduction to Natural Language Processing programming in Python

  1539248

• Apress/machine-learning-with-pyspark

  Source Code for 'Machine Learning with PySpark' by Pramod Singh

  Language:Jupyter Notebook11372112

• lmassaron/kaggledays-2019-gbdt

  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop

  Language:Jupyter Notebook9210035

• PacktPublishing/PySpark-Cookbook

  PySpark Cookbook, published by Packt

  Language:HTML8913096

• PrincipalComponent-zz/AXA_Telematics

  Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition

  Language:Python799251

• cmuth001/Data-Engineer-Nano-Degree

  Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.

  Language:Jupyter Notebook133021

• JasonKessler/GlobalAI2018

  Slides and Code for Natural Language Visualization with Scattertext

  Language:HTML5300