Название	СПАРК. Герой Вселенной (Spark and Python for Big Data with PySpark)
Тип	Фильм
Размер	1.56Гб

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1.1 NLP Slides.html	161б
1.1 Recommender Slides.html	161б
1.1 Slides for Clustering.html	161б
1.1 Slides for Installation Options Overview.html	161б
1.1 Slides for Linear Regression.html	161б
1.1 Slides for Logistic Regression.html	161б
1.1 Slides for ML Intro.html	161б
1.1 Slides for Python Crash Course.html	161б
1.1 Slides for Spark DataFrame Basics.html	161б
1.1 Slides for Tree Methods.html	161б
1.1 Spark Streaming Slides.html	161б
1.2 Slides for Installation.html	161б
1. AWS EC2 Set-up Guide.mp4	5.29Мб
1. AWS EC2 Set-up Guide.vtt	3.92Кб
1. AWS EMR Setup.mp4	45.34Мб
1. AWS EMR Setup.vtt	23.13Кб
1. Bonus Lecture Coupons.html	5.79Кб
1. Databricks Setup.mp4	27.62Мб
1. Databricks Setup.vtt	16.54Кб
1. DataFrame Project Exercise.mp4	11.90Мб
1. DataFrame Project Exercise.vtt	4.79Кб
1. Introduction.mp4	11.61Мб
1. Introduction.vtt	4.00Кб
1. Introduction to Machine Learning and ISLR.mp4	18.92Мб
1. Introduction to Machine Learning and ISLR.vtt	15.45Кб
1. Introduction to Natural Language Processing.mp4	14.33Мб
1. Introduction to Natural Language Processing.vtt	11.65Кб
1. Introduction to Python Crash Course.mp4	3.09Мб
1. Introduction to Python Crash Course.vtt	2.11Кб
1. Introduction to Recommender Systems.mp4	12.68Мб
1. Introduction to Recommender Systems.vtt	8.89Кб
1. Introduction to Spark DataFrames.mp4	4.70Мб
1. Introduction to Spark DataFrames.vtt	3.20Кб
1. Introduction to Streaming with Spark!.mp4	32.63Мб
1. Introduction to Streaming with Spark!.vtt	15.41Кб
1. K-means Clustering Theory and Reading.mp4	12.90Мб
1. K-means Clustering Theory and Reading.vtt	9.39Кб
1. Linear Regression Theory and Reading.mp4	9.89Мб
1. Linear Regression Theory and Reading.vtt	7.16Кб
1. Local Installation VirtualBox Part 1.mp4	37.69Мб
1. Local Installation VirtualBox Part 1.vtt	15.87Кб
1. Logistic Regression Theory and Reading.mp4	20.65Мб
1. Logistic Regression Theory and Reading.vtt	15.64Кб
1. Set-up Overview.mp4	10.83Мб
1. Set-up Overview.vtt	9.00Кб
1. Tree Methods Theory and Reading.mp4	14.66Мб
1. Tree Methods Theory and Reading.vtt	10.38Кб
2.1 Python-and-Spark-for-Big-Data-master.zip.zip	1.67Мб
2.2 Course Overview Slides.html	161б
2. Course Overview.mp4	14.44Мб
2. Course Overview.vtt	12.85Кб
2. Creating the EC2 Instance.mp4	62.98Мб
2. Creating the EC2 Instance.vtt	21.21Кб
2. DataFrame Project Exercise Solutions.mp4	45.06Мб
2. DataFrame Project Exercise Solutions.vtt	19.62Кб
2. Jupyter Notebook Overview.mp4	13.21Мб
2. Jupyter Notebook Overview.vtt	9.94Кб
2. KMeans Clustering Documentation Example.mp4	20.85Мб
2. KMeans Clustering Documentation Example.vtt	12.88Кб
2. Linear Regression Documentation Example.mp4	40.64Мб
2. Linear Regression Documentation Example.vtt	19.09Кб
2. Local Installation VirtualBox Part 2.mp4	46.49Мб
2. Local Installation VirtualBox Part 2.vtt	16.39Кб
2. Logistic Regression Example Code Along.mp4	53.37Мб
2. Logistic Regression Example Code Along.vtt	20.60Кб
2. Machine Learning with Spark and Python with MLlib.mp4	51.33Мб
2. Machine Learning with Spark and Python with MLlib.vtt	13.91Кб
2. NLP Tools Part One.mp4	36.19Мб
2. NLP Tools Part One.vtt	19.99Кб
2. Note on Installation Sections.html	347б
2. Recommender System - Code Along Project.mp4	24.60Мб
2. Recommender System - Code Along Project.vtt	15.70Кб
2. Spark DataFrame Basics.mp4	21.08Мб
2. Spark DataFrame Basics.vtt	14.34Кб
2. Spark Streaming Documentation Example.mp4	28.58Мб
2. Spark Streaming Documentation Example.vtt	15.27Кб
2. Tree Methods Documentation Examples.mp4	34.16Мб
2. Tree Methods Documentation Examples.vtt	18.11Кб
3.1 Great Example from Databricks.html	150б
3.1 Python-and-Spark-for-Big-Data-master.zip.zip	1.67Мб
3.2 Explanation of AUC.html	148б
3. Clustering Example Code Along.mp4	27.88Мб
3. Clustering Example Code Along.vtt	16.29Кб
3. Decision Tress and Random Forest Code Along Examples.mp4	49.11Мб
3. Decision Tress and Random Forest Code Along Examples.vtt	26.76Кб
3. Frequently Asked Questions.html	447б
3. Logistic Regression Code Along.mp4	41.48Мб
3. Logistic Regression Code Along.vtt	23.97Кб
3. NLP Tools Part Two.mp4	18.87Мб
3. NLP Tools Part Two.vtt	9.45Кб
3. Python Crash Course Part One.mp4	29.53Мб
3. Python Crash Course Part One.vtt	20.66Кб
3. Regression Evaluation.mp4	11.97Мб
3. Regression Evaluation.vtt	9.53Кб
3. Setting up PySpark.mp4	15.55Мб
3. Setting up PySpark.vtt	7.25Кб
3. Spark DataFrame Basics Part Two.mp4	19.72Мб
3. Spark DataFrame Basics Part Two.vtt	12.64Кб
3. Spark Streaming Twitter Project - Part.mp4	11.79Мб
3. Spark Streaming Twitter Project - Part.vtt	6.38Кб
3. SSH with Mac or Linux.mp4	9.25Мб
3. SSH with Mac or Linux.vtt	6.52Кб
4.1 Ecommerce_Customers.csv.csv	84.83Кб
4.1 Spark and Python Slides.html	161б
4. Clustering Consulting Project.mp4	6.59Мб
4. Clustering Consulting Project.vtt	4.18Кб
4. Installations on EC2.mp4	50.41Мб
4. Installations on EC2.vtt	17.68Кб
4. Linear Regression Example Code Along.mp4	39.18Мб
4. Linear Regression Example Code Along.vtt	20.30Кб
4. Logistic Regression Consulting Project.mp4	6.34Мб
4. Logistic Regression Consulting Project.vtt	4.70Кб
4. Natural Language Processing Code Along Project.mp4	35.21Мб
4. Natural Language Processing Code Along Project.vtt	17.15Кб
4. Python Crash Course Part Two.mp4	22.25Мб
4. Python Crash Course Part Two.vtt	15.07Кб
4. Random Forest - Classification Consulting Project.mp4	5.41Мб
4. Random Forest - Classification Consulting Project.vtt	3.38Кб
4. Spark DataFrame Basic Operations.mp4	27.58Мб
4. Spark DataFrame Basic Operations.vtt	14.01Кб
4. Spark Streaming Twitter Project - Part Two.mp4	29.31Мб
4. Spark Streaming Twitter Project - Part Two.vtt	15.86Кб
4. What is Spark Why Python.mp4	48.15Мб
4. What is Spark Why Python.vtt	26.91Кб
5. Clustering Consulting Project Solutions.mp4	23.04Мб
5. Clustering Consulting Project Solutions.vtt	10.06Кб
5. Groupby and Aggregate Operations.mp4	28.82Мб
5. Groupby and Aggregate Operations.vtt	16.52Кб
5. Linear Regression Consulting Project.mp4	6.75Мб
5. Linear Regression Consulting Project.vtt	4.32Кб
5. Logistic Regression Consulting Project Solutions.mp4	33.97Мб
5. Logistic Regression Consulting Project Solutions.vtt	13.37Кб
5. Python Crash Course Part Three.mp4	23.17Мб
5. Python Crash Course Part Three.vtt	14.01Кб
5. Random Forest Classification Consulting Project Solutions.mp4	15.92Мб
5. Random Forest Classification Consulting Project Solutions.vtt	10.31Кб
5. Spark Streaming Twitter Project - Part Three.mp4	55.00Мб
5. Spark Streaming Twitter Project - Part Three.vtt	25.52Кб
6. Linear Regression Consulting Project Solutions.mp4	38.76Мб
6. Linear Regression Consulting Project Solutions.vtt	19.87Кб
6. Missing Data.mp4	17.23Мб
6. Missing Data.vtt	11.71Кб
6. Python Crash Course Exercises.mp4	5.01Мб
6. Python Crash Course Exercises.vtt	2.15Кб
7. Dates and Timestamps.mp4	24.13Мб
7. Dates and Timestamps.vtt	12.71Кб
7. Python Crash Course Exercise Solutions.mp4	25.10Мб
7. Python Crash Course Exercise Solutions.vtt	11.18Кб
READ_ME.txt	407б
READ_ME.txt	407б
READ_ME.txt	407б

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