Download Udemy – Spark and Python for Big Data with PySpark 2019-9

Description

Spark and Python for Big Data with PySpark is the name of a course from Udemy that teaches how to use Spark and Python in big data. In this course, you will get to know PySpark and Spark Streaming and you will learn the topics of machine learning well. One of the most valuable skills in the field of technology is the ability to analyze large data sets, and this course tries to introduce you to one of the best technologies in this field, Apache Spark.

Apache Spark is an open source framework and distributed system that many large companies such as Google, Facebook, Amazon, and NASA use to solve big data problems. This framework can provide up to 100 times better performance than Hadoop MapReduce and fully meet your needs. In this course, you will fully familiarize yourself with Spark and learn how to use Python in the field of big data.

Items taught in this course:

• Using Spark and Python for big data analysis
• Using the Spark 2.0 DataFrame syntax
• Work on consulting projects
• Using Spark with Random Forests for Classification
• Using gradient reinforcement tree
• Using MLlib to build machine learning models

Specifications of Spark and Python for Big Data with PySpark course:

• English language
• Duration: 10 hours and 35 minutes
• Number of courses: 66
• Education level: Intermediate
• Lecturer: Jose Portilla
• File format: mp4

Course headings

66 lectures 10:35:05

Introduction to Course
4 lectures 30:12

Setting up Python with Spark
2 lectures 06:11

Local VirtualBox Setup
3 lectures 31:09

AWS EC2 PySpark Setup
4 lectures 38:58

Databricks Setup
1 lecture 11:41

AWS EMR Cluster Setup
1 lecture 17:16

Python Crash Course
7 lectures 58:50

Spark DataFrame Basics
7 lectures 01:04:52

Spark DataFrame Project Exercise
2 lectures 20:06

Introduction to Machine Learning with MLlib
2 lectures 19:25

Linear Regression
6 lectures 01:00:03

Logistic Regression
5 lectures 01:00:02

Decision Trees and Random Forests
5 lectures 52:26

K-means Clustering
5 lectures 41:20

Collaborative Filtering for Recommender Systems
2 lectures 18:39

Natural Language Processing
4 lectures 46:26

Spark Streaming with Python
5 lectures 57:18

Bonus
1 lecture 00:10

Course prerequisites

• General Programming Skills in any Language (Preferably Python)
• 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

Pictures

Sample video

Installation guide

After extracting, watch with your favorite player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 272 MB

Password file(s): www.downloadly.ir

Size

1.26 GB