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Course name Software Engineering Courses Using Spark with Python: Using Spark with Python

Using Spark with Python Video Course

Using Spark with Python Video Course is developed by Software Engineering Courses Professionals to help you pass the Using Spark with Python exam.

You Will Learn:

Was 21.99 USD
Now 19.99 USD

Description

This course will improve your knowledge and skills required to pass Using Spark with Python exam.

Curriculum For This Course

  • 1. Introduction to Course 2 Videos 00:26:42
    • Course Overview 07:46
    • What is Spark? Why Python? 18:48
  • 2. Setting up Python with Spark 1 Videos 00:05:58
    • Set-up Overview 05:48
  • 3. Local VirtualBox Set-up 3 Videos 00:31:09
    • Local Installation VirtualBox Part 1 04:23
    • Local Installation VirtualBox Part 2 12:59
    • Setting up PySpark 05:09
  • 4. AWS EC2 PySpark Set-up 4 Videos 00:38:58
    • AWS EC2 Set-up Guide 02:38
    • Creating the EC2 Instance 14:03
    • SSH with Mac or Linux 03:41
    • Installations on EC2 14:16
  • 5. Databricks Setup 1 Videos 00:11:41
    • Databricks Setup 10:05
  • 6. AWS EMR Cluster Setup 1 Videos 00:17:16
    • AWS EMR Setup 15:06
  • 7. Python Crash Course 7 Videos 00:58:50
    • Introduction to Python Crash Course 01:25
    • Jupyter Notebook Overview 05:36
    • Python Crash Course Part One 15:52
    • Python Crash Course Part Two 11:53
    • Python Crash Course Part Three 10:58
    • Python Crash Course Exercises 01:08
    • Python Crash Course Exercise Solutions 09:09
  • 8. Spark DataFrame Basics 7 Videos 01:04:52
    • Introduction to Spark DataFrames 02:16
    • Spark DataFrame Basics 10:33
    • Spark DataFrame Basics Part Two 09:37
    • Spark DataFrame Basic Operations 09:53
    • Groupby and Aggregate Operations 11:37
    • Missing Data 08:22
    • Dates and Timestamps 09:42
  • 9. Spark DataFrame Project Exercise 2 Videos 00:20:06
    • DataFrame Project Exercise 02:40
    • DataFrame Project Exercise Solutions 16:36
  • 10. Introduction to Machine Learning with MLlib 2 Videos 00:19:25
    • Introduction to Machine Learning and ISLR 04:23
    • Machine Learning with Spark and Python with MLlib 04:16
  • 11. Linear Regression 6 Videos 01:00:03
    • Linear Regression Theory and Reading 04:55
    • Linear Regression Documentation Example 13:32
    • Regression Evaluation 06:36
    • Linear Regression Example Code Along 14:15
    • Linear Regression Consulting Project 03:03
    • Linear Regression Consulting Project Solutions 15:03
  • 12. Logistic Regression 5 Videos 01:00:02
    • Logistic Regression Theory and Reading 11:13
    • Logistic Regression Example Code Along 15:29
    • Logistic Regression Code Along 03:05
    • Logistic Regression Consulting Project 11:00
    • Logistic Regression Consulting Project Solutions 07:32
  • 13. Decision Trees and Random Forests 5 Videos 00:52:26
    • Tree Methods Theory and Reading 07:50
    • Tree Methods Documentation Examples 12:31
    • Decision Tress and Random Forest Code Along Examples 20:24
    • Random Forest - Classification Consulting Project 02:25
    • Random Forest Classification Consulting Project Solutions 07:48
  • 14. K-means Clustering 5 Videos 00:41:20
    • K-means Clustering Theory and Reading 06:44
    • KMeans Clustering Documentation Example 09:03
    • Clustering Example Code Along 10:50
    • Clustering Consulting Project 03:00
    • Clustering Consulting Project Solutions 08:26
  • 15. Collaborative Filtering for Recommender Systems 2 Videos 00:18:39
    • Introduction to Recommender Systems 06:24
    • Recommender System - Code Along Project 11:40
  • 16. Natural Language Processing 4 Videos 00:46:26
    • Introduction to Natural Language Processing 07:56
    • NLP Tools Part One 15:30
    • NLP Tools Part Two 07:48
    • Natural Language Processing Code Along Project 13:27
  • 17. Spark Streaming with Python 5 Videos 00:57:18
    • Introduction to Streaming with Spark! 10:11
    • Spark Streaming Documentation Example 08:56
    • Spark Streaming Twitter Project - Part 03:44
    • Spark Streaming Twitter Project - Part Two 12:35
    • Spark Streaming Twitter Project - Part Three 13:46