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API Integration

文件列表

  • 04 AWS EC2 PySpark Set-up/011 Creating the EC2 Instance.mp4 66.0 MB
  • 17 Spark Streaming with Python/064 Spark Streaming Twitter Project - Part Three.mp4 57.7 MB
  • 12 Logistic Regression/041 Logistic Regression Example Code Along.mp4 56.0 MB
  • 10 Introduction to Machine Learning with MLlib/033 Machine Learning with Spark and Python with MLlib.mp4 53.8 MB
  • 04 AWS EC2 PySpark Set-up/013 Installations on EC2.mp4 52.8 MB
  • 13 Decision Trees and Random Forests/046 Decision Tress and Random Forest Code Along Examples.mp4 51.5 MB
  • 01 Introduction to Course/004 What is Spark Why Python.mp4 50.5 MB
  • 03 Local VirtualBox Set-up/008 Local Installation VirtualBox Part 2.mp4 48.7 MB
  • 06 AWS EMR Cluster Setup/015 AWS EMR Setup.mp4 47.5 MB
  • 09 Spark DataFrame Project Exercise/031 DataFrame Project Exercise Solutions.mp4 47.2 MB
  • 11 Linear Regression/035 Linear Regression Documentation Example.mp4 42.6 MB
  • 11 Linear Regression/037 Linear Regression Example Code Along.mp4 41.1 MB
  • 11 Linear Regression/039 Linear Regression Consulting Project Solutions.mp4 40.6 MB
  • 03 Local VirtualBox Set-up/007 Local Installation VirtualBox Part 1.mp4 39.5 MB
  • 16 Natural Language Processing/057 NLP Tools Part One.mp4 37.9 MB
  • 16 Natural Language Processing/059 Natural Language Processing Code Along Project.mp4 36.9 MB
  • 13 Decision Trees and Random Forests/045 Tree Methods Documentation Examples.mp4 35.8 MB
  • 12 Logistic Regression/043 Logistic Regression Consulting Project Solutions.mp4 35.6 MB
  • 17 Spark Streaming with Python/060 Introduction to Streaming with Spark.mp4 34.2 MB
  • 07 Python Crash Course/018 Python Crash Course Part One.mp4 31.0 MB
  • 17 Spark Streaming with Python/063 Spark Streaming Twitter Project - Part Two.mp4 30.7 MB
  • 08 Spark DataFrame Basics/027 Groupby and Aggregate Operations.mp4 30.2 MB
  • 17 Spark Streaming with Python/061 Spark Streaming Documentation Example.mp4 30.0 MB
  • 14 K-means Clustering/051 Clustering Example Code Along.mp4 29.2 MB
  • 05 Databricks Setup/014 Databricks Setup.mp4 29.0 MB
  • 08 Spark DataFrame Basics/026 Spark DataFrame Basic Operations.mp4 28.9 MB
  • 07 Python Crash Course/022 Python Crash Course Exercise Solutions.mp4 26.3 MB
  • 15 Collaborative Filtering for Recommender Systems/055 Recommender System - Code Along Project.mp4 25.8 MB
  • 08 Spark DataFrame Basics/029 Dates and Timestamps.mp4 25.3 MB
  • 07 Python Crash Course/020 Python Crash Course Part Three.mp4 24.3 MB
  • 14 K-means Clustering/053 Clustering Consulting Project Solutions.mp4 24.2 MB
  • 07 Python Crash Course/019 Python Crash Course Part Two.mp4 23.3 MB
  • 08 Spark DataFrame Basics/024 Spark DataFrame Basics.mp4 22.1 MB
  • 14 K-means Clustering/050 KMeans Clustering Documentation Example.mp4 21.9 MB
  • 12 Logistic Regression/040 Logistic Regression Theory and Reading.mp4 21.6 MB
  • 08 Spark DataFrame Basics/025 Spark DataFrame Basics Part Two.mp4 20.7 MB
  • 10 Introduction to Machine Learning with MLlib/032 Introduction to Machine Learning and ISLR.mp4 19.8 MB
  • 16 Natural Language Processing/058 NLP Tools Part Two.mp4 19.8 MB
  • 08 Spark DataFrame Basics/028 Missing Data.mp4 18.1 MB
  • 13 Decision Trees and Random Forests/048 Random Forest Classification Consulting Project Solutions.mp4 16.7 MB
  • 03 Local VirtualBox Set-up/009 Setting up PySpark.mp4 16.3 MB
  • 13 Decision Trees and Random Forests/044 Tree Methods Theory and Reading.mp4 15.4 MB
  • 01 Introduction to Course/002 Course Overview.mp4 15.1 MB
  • 16 Natural Language Processing/056 Introduction to Natural Language Processing.mp4 15.0 MB
  • 07 Python Crash Course/017 Jupyter Notebook Overview.mp4 13.9 MB
  • 14 K-means Clustering/049 K-means Clustering Theory and Reading.mp4 13.5 MB
  • 15 Collaborative Filtering for Recommender Systems/054 Introduction to Recommender Systems.mp4 13.3 MB
  • 11 Linear Regression/036 Regression Evaluation.mp4 12.5 MB
  • 09 Spark DataFrame Project Exercise/030 DataFrame Project Exercise.mp4 12.5 MB
  • 17 Spark Streaming with Python/062 Spark Streaming Twitter Project - Part.mp4 12.4 MB
  • 01 Introduction to Course/001 Introduction.mp4 12.2 MB
  • 02 Setting up Python with Spark/005 Set-up Overview.mp4 11.4 MB
  • 11 Linear Regression/034 Linear Regression Theory and Reading.mp4 10.4 MB
  • 04 AWS EC2 PySpark Set-up/012 SSH with Mac or Linux.mp4 9.7 MB
  • 11 Linear Regression/038 Linear Regression Consulting Project.mp4 7.1 MB
  • 14 K-means Clustering/052 Clustering Consulting Project.mp4 6.9 MB
  • 12 Logistic Regression/042 Logistic Regression Consulting Project.mp4 6.6 MB
  • 13 Decision Trees and Random Forests/047 Random Forest - Classification Consulting Project.mp4 5.7 MB
  • 04 AWS EC2 PySpark Set-up/010 AWS EC2 Set-up Guide.mp4 5.6 MB
  • 07 Python Crash Course/021 Python Crash Course Exercises.mp4 5.2 MB
  • 08 Spark DataFrame Basics/023 Introduction to Spark DataFrames.mp4 4.9 MB
  • 07 Python Crash Course/016 Introduction to Python Crash Course.mp4 3.2 MB
  • 01 Introduction to Course/attached_files/002 Course Overview/Python-and-Spark-for-Big-Data-master.zip 1.7 MB
  • 01 Introduction to Course/attached_files/003 Frequently Asked Questions/Python-and-Spark-for-Big-Data-master.zip 1.7 MB
  • 11 Linear Regression/attached_files/037 Linear Regression Example Code Along/Ecommerce-Customers.csv 86.9 kB
  • 18 Bonus/065 BONUS LECTURE.html 1.6 kB
  • 01 Introduction to Course/003 Frequently Asked Questions.html 759 Bytes
  • 02 Setting up Python with Spark/006 Note on Installation Sections.html 662 Bytes
  • Freetutorials.Us.url 119 Bytes
  • [FreeTutorials.Us].txt 75 Bytes

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