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 Basics for Information Researchers (Big Data + Python)

  1. Use Python with Big Information on a distributed framework (Apache Flicker)
  2. Deal with REAL datasets on practical consulting projects
  3. Just how to streaming LIVE information from Twitter using Spark Structured Streaming
  4. Discover just how to create a “Pandora Like” application that classifies tracks right into styles making use of machine learning
  5. Flag questionable task posts using Natural Language Processing
  6. Usage device learning to predict ideal concrete toughness and the elements that impact it
  7. Classify Xmas cooking dishes utilizing Topic Modeling (LDA)
  8. Customer Division making use of Gaussian Combination Modeling (Clustering)
  9. Use cluster evaluation to create a technique developed to boost university graduation prices for under-priveleged populations
  10. Just how to utilize the k-means clustering algorithm to specify an advertising and marketing outreach technique
  11. Integrate a UI to monitor your version training and development process with MLflow
  12. Theory as well as application of reducing side data scientific research formulas
  13. Control, Join as well as Accumulate Dataframes in Glow with Python
  14. Learn just how to use Glow’s artificial intelligence methods on dispersed Dataframes
  15. Cross Recognition & & Hyperparameter Tuning
  16. Constant Pattern Mining Techniques
  17. Category & & Regression Techniques
  18. Information Wrangling for All-natural Language Handling
  19. Just how to write SQL Queries in Flicker


This course is for information scientists (or aspiring data scientists) that want to obtain sensible training in PySpark (Python for Apache Spark) utilizing REAL WORLD datasets as well as APPLICABLE coding knowledge that you’ll make use of day-to-day as a data researcher! By registering in this program, you’ll access to over 100 lectures, hundreds of example troubles and also quizzes and over 100,000 lines of code!

I’m mosting likely to offer the fundamentals for what you need to recognize to be a professional in Pyspark by the end of this course, that I have actually made based upon my EXTENSIVE experience consulting as a data researcher for clients like the IRS, the US Department of Labor as well as USA Veterans Matters.

I have actually structured the lectures as well as coding exercises genuine world application, so you can recognize just how PySpark is actually utilized on the job. We are additionally mosting likely to dive into my customized functions that I wrote MYSELF to obtain you up and also running in the MLlib API quickly as well as make getting started building artificial intelligence versions a breeze! We will also touch on MLflow which will help us handle as well as track our design training and analysis procedure in a custom-made interface that will certainly make you much more affordable 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 :6.02 gb
Publisher :Layla AI
Updated and Published:07 Jul,2022

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File name: PySpark-Essentials-for-Data-Scientists-Big-Data-Python.rar
File Size:6.02 gb
Course duration:10 hours
Instructor Name:Layla AI
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