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 learn in PySpark Fundamentals for Data Scientists (Big Data + Python)

  1. Use Python with Big Data on a distributed framework (Apache Spark)
  2. Work with REAL datasets on practical consulting projects
  3. Just how to streaming LIVE information from Twitter utilizing Spark Structured Streaming
  4. Find out exactly how to produce a “Pandora Like” application that categorizes tunes into categories making use of artificial intelligence
  5. Flag suspicious work posts making use of Natural Language Processing
  6. Usage device discovering to anticipate optimal cement stamina and also the elements that influence it
  7. Identify Xmas cooking recipes using Subject Modeling (LDA)
  8. Customer Segmentation making use of Gaussian Blend Modeling (Clustering)
  9. Use cluster evaluation to develop a technique made to raise university graduation rates for under-priveleged populaces
  10. Just how to utilize the k-means clustering algorithm to define an advertising outreach strategy
  11. Integrate a UI to monitor your model training and also growth process with MLflow
  12. Theory and application of cutting edge information science algorithms
  13. Manipulate, Join as well as Accumulate Dataframes in Spark with Python
  14. Learn just how to apply Flicker’s machine learning techniques on distributed Dataframes
  15. Cross Recognition & & Hyperparameter Adjusting
  16. Frequent Pattern Mining Techniques
  17. Classification & & Regression Strategies
  18. Information Wrangling for All-natural Language Handling
  19. Just how to compose SQL Queries in Spark


This training course is for data researchers (or aspiring information researchers) that intend to obtain PRACTICAL training in PySpark (Python for Apache Flicker) utilizing real life datasets and APPLICABLE coding knowledge that you’ll use everyday as a data scientist! By signing up in this program, you’ll gain access to over 100 talks, hundreds of instance troubles as well as quizzes as well as over 100,000 lines of code!

I’m going to provide the fundamentals wherefore you need to know to be an expert in Pyspark by the end of this training course, that I have actually created based on my considerable experience consulting as a data scientist for customers like the IRS, the US Department of Labor as well as United States Veterans Affairs.

I’ve structured the talks as well as coding workouts for real world application, so you can recognize how PySpark is in fact utilized on the job. We are likewise mosting likely to study my custom operates that I composed MYSELF to obtain you up and also running in the MLlib API quickly and also make starting building machine learning models a breeze! We will also discuss MLflow which will assist us take care of and track our design training as well as evaluation process in a customized interface that will make you much 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 :0.50 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:0.50 gb
Course duration:1 hours
Instructor Name:Layla AI
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