PySpark Essentials for Data Scientists (Big Data + Python) free download

PySpark Essentials for Data Scientists (Big Data + Python) free download
PySpark Essentials for Data Scientists (Big Data + Python) Use Python with Big Data on a distributed framework (Apache Spark) Work with REAL datasets on realistic consulting projects . Learn how to create a “Pandora Like” app that classifies songs into genres using machine learning . Flag suspicious job postings using Natural Language Processing . Use machine learning to predict optimal cement strength and the factors that affect it . Use cluster analysis to develop a strategy designed to increase college graduation rates for under-priveleged populations . Use clustering to develop strategy to increase graduation rates in college graduation plans . Use the k-means clustering algorithm to define a defined a

What you’ll find out in PySpark Essentials for Information Scientists (Big Data + Python)

  1. Usage Python with Big Data on a distributed framework (Apache Glow)
  2. Deal with REAL datasets on practical consulting tasks
  3. Exactly how to streaming LIVE data from Twitter making use of Glow Structured Streaming
  4. Learn just how to create a “Pandora Like” application that categorizes tunes right into styles using machine learning
  5. Flag suspicious job postings utilizing Natural Language Processing
  6. Use machine finding out to predict optimum concrete strength and the variables that affect it
  7. Categorize Christmas cooking recipes making use of Subject Modeling (LDA)
  8. Client Division utilizing Gaussian Mixture Modeling (Clustering)
  9. Usage cluster analysis to develop a technique created to boost college graduation rates for under-priveleged populations
  10. Exactly how to use the k-means clustering algorithm to specify a marketing outreach technique
  11. Integrate a UI to check your model training as well as advancement process with MLflow
  12. Concept as well as application of reducing edge information scientific research algorithms
  13. Control, Join as well as Accumulate Dataframes in Spark with Python
  14. Learn how to apply Glow’s artificial intelligence methods on dispersed Dataframes
  15. Cross Recognition & & Hyperparameter Adjusting
  16. Regular Pattern Mining Techniques
  17. Classification & & Regression Methods
  18. Information Wrangling for Natural Language Handling
  19. Just how to create SQL Queries in Glow

Description

This course is for data scientists (or hopeful information researchers) that intend to get useful training in PySpark (Python for Apache Spark) utilizing REAL WORLD datasets and APPLICABLE coding knowledge that you’ll utilize day-to-day as an information scientist! By signing up in this training course, you’ll access to over 100 lectures, hundreds of instance issues and quizzes and also over 100,000 lines of code!

I’m mosting likely to provide the basics wherefore you need to understand to be a specialist in Pyspark by the end of this training course, that I’ve designed based on my EXTENSIVE experience consulting as a data researcher for customers like the IRS, the United States Division of Labor and USA Veterans Affairs.

I’ve structured the lectures and coding workouts for real globe application, so you can recognize exactly how PySpark is in fact used at work. We are also mosting likely to study my personalized functions that I composed MYSELF to get you up and running in the MLlib API quick and make beginning building artificial intelligence versions a wind! We will likewise touch on MLflow which will help us take care of and also track our model training as well as analysis procedure in a personalized interface that will certainly make you even more competitive on duty market!

Who this course is for:

  • Data Scientists interested in learning PySpark
  • PySpark developers looking to strengthen their coding skills
  • Python developers who need to work with big data
  • Data Scientists who want to learn to work with big data
File Name :PySpark Essentials for Data Scientists (Big Data + Python) free download
Content Source:udemy
Genre / Category:Development
File Size :3.00 gb
Publisher :Layla AI
Updated and Published:08 Aug,2022
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File name: PySpark-Essentials-for-Data-Scientists-Big-Data-Python.rar
File Size:3.00 gb
Course duration:6 hours
Instructor Name:Layla AI
Language:English
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