All Projects → DataScienceResearchPeru → meetups-archivos

DataScienceResearchPeru / meetups-archivos

Licence: other
Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir, descentralizar y difundir los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros …

Programming Languages

Jupyter Notebook
11667 projects
HTML
75241 projects
python
139335 projects - #7 most used programming language
r
7636 projects

Projects that are alternatives of or similar to meetups-archivos

Spark Py Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+2130%)
Mutual labels:  big-data, bigdata
Genie
Distributed Big Data Orchestration Service
Stars: ✭ 1,544 (+2473.33%)
Mutual labels:  big-data, bigdata
Bigdata Notes
大数据入门指南 ⭐
Stars: ✭ 10,991 (+18218.33%)
Mutual labels:  big-data, bigdata
Countly Sdk Cordova
Countly Product Analytics SDK for Cordova, Icenium and Phonegap
Stars: ✭ 69 (+15%)
Mutual labels:  big-data, bigdata
twitter-archive-reader
Full featured TypeScript Twitter archive reader and browser
Stars: ✭ 43 (-28.33%)
Mutual labels:  big-data, bigdata
Big Data Engineering Coursera Yandex
Big Data for Data Engineers Coursera Specialization from Yandex
Stars: ✭ 71 (+18.33%)
Mutual labels:  big-data, bigdata
Spark R Notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (+81.67%)
Mutual labels:  big-data, bigdata
Cortx
CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
Stars: ✭ 426 (+610%)
Mutual labels:  big-data, bigdata
Aws Etl Orchestrator
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Stars: ✭ 245 (+308.33%)
Mutual labels:  big-data, bigdata
Sparkrdma
RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark
Stars: ✭ 215 (+258.33%)
Mutual labels:  big-data, bigdata
Hadoop For Geoevent
ArcGIS GeoEvent Server sample Hadoop connector for storing GeoEvents in HDFS.
Stars: ✭ 5 (-91.67%)
Mutual labels:  big-data, bigdata
awesome-coder-resources
编程路上加油站!------【持续更新中...欢迎star,欢迎常回来看看......】【内容:编程/学习/阅读资源,开源项目,面试题,网站,书,博客,教程等等】
Stars: ✭ 54 (-10%)
Mutual labels:  big-data, bigdata
Spark Movie Lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Stars: ✭ 745 (+1141.67%)
Mutual labels:  big-data, bigdata
Uproot4
ROOT I/O in pure Python and NumPy.
Stars: ✭ 80 (+33.33%)
Mutual labels:  big-data, bigdata
Circosjs
d3 library to build circular graphs
Stars: ✭ 436 (+626.67%)
Mutual labels:  big-data, bigdata
Tennis Crystal Ball
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (+78.33%)
Mutual labels:  big-data, bigdata
NiFi-Rule-engine-processor
Drools processor for Apache NiFi
Stars: ✭ 34 (-43.33%)
Mutual labels:  big-data, bigdata
Uproot3
ROOT I/O in pure Python and NumPy.
Stars: ✭ 312 (+420%)
Mutual labels:  big-data, bigdata
Big Data Study
🐳 big data study
Stars: ✭ 141 (+135%)
Mutual labels:  big-data, bigdata
Clustering4Ever
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.
Stars: ✭ 126 (+110%)
Mutual labels:  big-data, bigdata

Archivo: Meetups Data Science Research Perú

Aquí se actualizará todos los archivos utilizados en los meetups de Data Science Research Perú

!Únete a nosotros!

¿Qué son los Meetups?

Son reuniones físicas entre personas interesadas en temas específicos.

¿Qué archivos hay en este repositorio?

Aquí guardamos los enlaces y archivos que se mostraron o utilizaron en dichas reuniones con el objetivo de incentivar a las personas interesadas que no estuvieron presentes.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].