From 0 to 1 : Spark for Data Science with Python free download

From 0 to 1: Spark for Data Science with Python . Use Spark for a variety of analytics and Machine Learning tasks . Implement complex algorithms like PageRank or Music Recommendations . Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX . Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts . Team has decades of practical experience in working with Java and with billions of rows of data . Get your data to fly using Spark for analytics, machine learning and data science .

What you’ll learn in From 0 to 1: Trigger for Data Scientific Research with Python

  1. Use Flicker for a range of analytics and Artificial intelligence tasks
  2. Carry out complicated formulas like PageRank or Music Suggestions
  3. Collaborate with a selection of datasets from Airline delays to Twitter, Internet charts, Social media network and Item Ratings
  4. Make use of all the different features as well as libraries of Spark: RDDs, Dataframes, Glow SQL, MLlib, Flicker Streaming and GraphX


Taught by a 4 individual group consisting of 2 Stanford-educated, ex-Googlers as well as 2 ex-Flipkart Lead Analysts. This team has decades of useful experience in collaborating with Java as well as with billions of rows of information.

Obtain your data to fly using Flicker for analytics, artificial intelligence and data science

Let’s analyze that.

What’s Flicker? If you are an expert or an information scientist, you’re used to having several systems for working with data. SQL, Python, R, Java, and so on. With Spark, you have a single engine where you can check out and also have fun with large amounts of data, run artificial intelligence formulas and then make use of the same system to productionize your code.

Analytics: Making Use Of Glow as well as Python you can evaluate and also discover your information in an interactive environment with fast feedback. The training course will certainly demonstrate how to take advantage of the power of RDDs and Dataframes to adjust data easily.

Who this course is for:

  • Yep! Analysts who want to leverage Spark for analyzing interesting datasets
  • Yep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
  • Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both
File Name :From 0 to 1 : Spark for Data Science with Python free download
Content Source:udemy
Genre / Category:Data Science
File Size :2.36 gb
Publisher :Loony Corn
Updated and Published:07 Jul,2022

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File name: From-0-to-1-Spark-for-Data-Science-with-Python.rar
File Size:2.36 gb
Course duration:4 hours
Instructor Name:Loony Corn
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