666 Open source projects that are alternatives of or similar to pyspark-ML-in-Colab

An intelligently dumb calculator that uses machine learning

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

No description or website provided.

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

Fundamentals of Spark with Python (using PySpark), code examples

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

A list of popular deep learning models related to classification, segmentation and detection problems

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

同步Hive数据仓库数据到Elasticsearch的小工具

Utilities for glmnet

This is a place to put s2i images and utilities for spark application builders for openshift

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Smart Automation Tool for building modern Data Lakes and Data Pipelines

The collaboration workspace for Machine Learning

a collection of modern sparse (regularized) linear regression algorithms.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Bidirectional Helmholtz Machines

大数据生态圈学习

An introductory statistics course for social scientists, using Stata

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

Machine Learning algorithms coded from scratch

Just a boilerplate for PySpark and Flask

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

基于Hadoop的分布式云存储系统 🌴

Data pipeline project

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

[Archive] Intern project - Big Data Exploration using MongoDB - This Repository is NOT a supported MongoDB product

All code samples, scripts and more in-depth examples for The Apache Ignite Book. Include Apache Ignite 2.6 or above

Counting Tweets Per User in Real-Time

Companion to Learning Hadoop and Learning Spark courses on Linked In Learning

Open Source Phasor Data Concentrator

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Code for my presentation: Using PySpark to Process Boat Loads of Data

大数据学习笔记，学习路线，技术案例整理。

Hive Storage Handler for interoperability between BigQuery and Apache Hive

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

.pdf Format Books for Machine and Deep Learning

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Node.js WebHDFS REST API client

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

大数据相关内容汇总，包括分布式存储引擎、分布式计算引擎、数仓建设等。关键词：Hadoop、HBase、ES、Kudu、Hive、Presto、Spark、Flink、Kylin、ClickHouse

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

论坛日志分析系统清洗程序(包含IP规则库，UDF开发，MapReduce程序，日志数据)

Set model hyperparameters using deterministic, exact algorithms.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Information Inference Service of the OpenAIRE system

Run Minecraft Server on Google Colab.

Real-world Spark pipelines examples