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Using Spark with Python Certification Video Training Course

The complete solution to prepare for for your exam with Using Spark with Python certification video training course. The Using Spark with Python certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Software Engineering Courses Using Spark with Python exam dumps, study guide & practice test questions and answers.

144 Students Enrolled
62 Lectures
10:31:11 Hours

Using Spark with Python Certification Video Training Course Exam Curriculum

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1

Introduction to Course

2 Lectures
Time 00:26:42
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2

Setting up Python with Spark

1 Lectures
Time 00:05:58
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3

Local VirtualBox Set-up

3 Lectures
Time 00:31:09
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4

AWS EC2 PySpark Set-up

4 Lectures
Time 00:38:58
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5

Databricks Setup

1 Lectures
Time 00:11:41
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6

AWS EMR Cluster Setup

1 Lectures
Time 00:17:16
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7

Python Crash Course

7 Lectures
Time 00:58:50
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8

Spark DataFrame Basics

7 Lectures
Time 01:04:52
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9

Spark DataFrame Project Exercise

2 Lectures
Time 00:20:06
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10

Introduction to Machine Learning with MLlib

2 Lectures
Time 00:19:25
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11

Linear Regression

6 Lectures
Time 01:00:03
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12

Logistic Regression

5 Lectures
Time 01:00:02
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13

Decision Trees and Random Forests

5 Lectures
Time 00:52:26
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14

K-means Clustering

5 Lectures
Time 00:41:20
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15

Collaborative Filtering for Recommender Systems

2 Lectures
Time 00:18:39
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16

Natural Language Processing

4 Lectures
Time 00:46:26
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17

Spark Streaming with Python

5 Lectures
Time 00:57:18

Introduction to Course

  • play 1. Course Overview
    07:46
  • play 2. What is Spark? Why Python?
    18:48

Setting up Python with Spark

  • play 1. Set-up Overview
    05:48

Local VirtualBox Set-up

  • play 1. Local Installation VirtualBox Part 1
    04:23
  • play 2. Local Installation VirtualBox Part 2
    12:59
  • play 3. Setting up PySpark
    05:09

AWS EC2 PySpark Set-up

  • play 1. AWS EC2 Set-up Guide
    02:38
  • play 2. Creating the EC2 Instance
    14:03
  • play 3. SSH with Mac or Linux
    03:41
  • play 4. Installations on EC2
    14:16

Databricks Setup

  • play 1. Databricks Setup
    10:05

AWS EMR Cluster Setup

  • play 1. AWS EMR Setup
    15:06

Python Crash Course

  • play 1. Introduction to Python Crash Course
    01:25
  • play 2. Jupyter Notebook Overview
    05:36
  • play 3. Python Crash Course Part One
    15:52
  • play 4. Python Crash Course Part Two
    11:53
  • play 5. Python Crash Course Part Three
    10:58
  • play 6. Python Crash Course Exercises
    01:08
  • play 7. Python Crash Course Exercise Solutions
    09:09

Spark DataFrame Basics

  • play 1. Introduction to Spark DataFrames
    02:16
  • play 2. Spark DataFrame Basics
    10:33
  • play 3. Spark DataFrame Basics Part Two
    09:37
  • play 4. Spark DataFrame Basic Operations
    09:53
  • play 5. Groupby and Aggregate Operations
    11:37
  • play 6. Missing Data
    08:22
  • play 7. Dates and Timestamps
    09:42

Spark DataFrame Project Exercise

  • play 1. DataFrame Project Exercise
    02:40
  • play 2. DataFrame Project Exercise Solutions
    16:36

Introduction to Machine Learning with MLlib

  • play 1. Introduction to Machine Learning and ISLR
    04:23
  • play 2. Machine Learning with Spark and Python with MLlib
    04:16

Linear Regression

  • play 1. Linear Regression Theory and Reading
    04:55
  • play 2. Linear Regression Documentation Example
    13:32
  • play 3. Regression Evaluation
    06:36
  • play 4. Linear Regression Example Code Along
    14:15
  • play 5. Linear Regression Consulting Project
    03:03
  • play 6. Linear Regression Consulting Project Solutions
    15:03

Logistic Regression

  • play 1. Logistic Regression Theory and Reading
    11:13
  • play 2. Logistic Regression Example Code Along
    15:29
  • play 3. Logistic Regression Code Along
    03:05
  • play 4. Logistic Regression Consulting Project
    11:00
  • play 5. Logistic Regression Consulting Project Solutions
    07:32

Decision Trees and Random Forests

  • play 1. Tree Methods Theory and Reading
    07:50
  • play 2. Tree Methods Documentation Examples
    12:31
  • play 3. Decision Tress and Random Forest Code Along Examples
    20:24
  • play 4. Random Forest - Classification Consulting Project
    02:25
  • play 5. Random Forest Classification Consulting Project Solutions
    07:48

K-means Clustering

  • play 1. K-means Clustering Theory and Reading
    06:44
  • play 2. KMeans Clustering Documentation Example
    09:03
  • play 3. Clustering Example Code Along
    10:50
  • play 4. Clustering Consulting Project
    03:00
  • play 5. Clustering Consulting Project Solutions
    08:26

Collaborative Filtering for Recommender Systems

  • play 1. Introduction to Recommender Systems
    06:24
  • play 2. Recommender System - Code Along Project
    11:40

Natural Language Processing

  • play 1. Introduction to Natural Language Processing
    07:56
  • play 2. NLP Tools Part One
    15:30
  • play 3. NLP Tools Part Two
    07:48
  • play 4. Natural Language Processing Code Along Project
    13:27

Spark Streaming with Python

  • play 1. Introduction to Streaming with Spark!
    10:11
  • play 2. Spark Streaming Documentation Example
    08:56
  • play 3. Spark Streaming Twitter Project - Part
    03:44
  • play 4. Spark Streaming Twitter Project - Part Two
    12:35
  • play 5. Spark Streaming Twitter Project - Part Three
    13:46
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About Using Spark with Python Certification Video Training Course

Using Spark with Python certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.

Prepaway's Using Spark with Python video training course for passing certification exams is the only solution which you need.

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