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