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种子名称： [DesireCourse.Net] Udemy - Spark and Python for Big Data with PySpark
文件类型： 视频
文件数目： 63个文件
文件大小： 1.55 GB
收录时间： 2021-10-21 09:39
已经下载： 3次
资源热度： 224
最近下载： 2024-12-26 06:41

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[DesireCourse.Net] Udemy - Spark and Python for Big Data with PySpark.torrent

1. Introduction to Course/1. Introduction.mp411.62MB

1. Introduction to Course/2. Course Overview.mp414.44MB

1. Introduction to Course/4. What is Spark Why Python.mp448.15MB

10. Introduction to Machine Learning with MLlib/1. Introduction to Machine Learning and ISLR.mp418.92MB

10. Introduction to Machine Learning with MLlib/2. Machine Learning with Spark and Python with MLlib.mp451.32MB

11. Linear Regression/1. Linear Regression Theory and Reading.mp49.89MB

11. Linear Regression/2. Linear Regression Documentation Example.mp440.63MB

11. Linear Regression/3. Regression Evaluation.mp411.96MB

11. Linear Regression/4. Linear Regression Example Code Along.mp439.18MB

11. Linear Regression/5. Linear Regression Consulting Project.mp46.75MB

11. Linear Regression/6. Linear Regression Consulting Project Solutions.mp438.76MB

12. Logistic Regression/1. Logistic Regression Theory and Reading.mp420.65MB

12. Logistic Regression/2. Logistic Regression Example Code Along.mp453.37MB

12. Logistic Regression/3. Logistic Regression Code Along.mp441.47MB

12. Logistic Regression/4. Logistic Regression Consulting Project.mp46.33MB

12. Logistic Regression/5. Logistic Regression Consulting Project Solutions.mp433.97MB

13. Decision Trees and Random Forests/1. Tree Methods Theory and Reading.mp414.67MB

13. Decision Trees and Random Forests/2. Tree Methods Documentation Examples.mp434.16MB

13. Decision Trees and Random Forests/3. Decision Tress and Random Forest Code Along Examples.mp449.1MB

13. Decision Trees and Random Forests/4. Random Forest - Classification Consulting Project.mp45.41MB

13. Decision Trees and Random Forests/5. Random Forest Classification Consulting Project Solutions.mp415.92MB

14. K-means Clustering/1. K-means Clustering Theory and Reading.mp412.9MB

14. K-means Clustering/2. KMeans Clustering Documentation Example.mp420.86MB

14. K-means Clustering/3. Clustering Example Code Along.mp427.88MB

14. K-means Clustering/4. Clustering Consulting Project.mp46.6MB

14. K-means Clustering/5. Clustering Consulting Project Solutions.mp423.03MB

15. Collaborative Filtering for Recommender Systems/1. Introduction to Recommender Systems.mp412.68MB

15. Collaborative Filtering for Recommender Systems/2. Recommender System - Code Along Project.mp424.59MB

16. Natural Language Processing/1. Introduction to Natural Language Processing.mp414.33MB

16. Natural Language Processing/2. NLP Tools Part One.mp436.19MB

16. Natural Language Processing/3. NLP Tools Part Two.mp418.86MB

16. Natural Language Processing/4. Natural Language Processing Code Along Project.mp435.2MB

17. Spark Streaming with Python/1. Introduction to Streaming with Spark!.mp432.63MB

17. Spark Streaming with Python/2. Spark Streaming Documentation Example.mp428.57MB

17. Spark Streaming with Python/3. Spark Streaming Twitter Project - Part.mp411.79MB

17. Spark Streaming with Python/4. Spark Streaming Twitter Project - Part Two.mp429.3MB

17. Spark Streaming with Python/5. Spark Streaming Twitter Project - Part Three.mp455.01MB

2. Setting up Python with Spark/1. Set-up Overview.mp410.84MB

3. Local VirtualBox Set-up/1. Local Installation VirtualBox Part 1.mp437.69MB

3. Local VirtualBox Set-up/2. Local Installation VirtualBox Part 2.mp446.48MB

3. Local VirtualBox Set-up/3. Setting up PySpark.mp415.55MB

4. AWS EC2 PySpark Set-up/1. AWS EC2 Set-up Guide.mp45.29MB

4. AWS EC2 PySpark Set-up/2. Creating the EC2 Instance.mp462.98MB

4. AWS EC2 PySpark Set-up/3. SSH with Mac or Linux.mp49.26MB

4. AWS EC2 PySpark Set-up/4. Installations on EC2.mp450.41MB

5. Databricks Setup/1. Databricks Setup.mp427.63MB

6. AWS EMR Cluster Setup/1. AWS EMR Setup.mp445.33MB

7. Python Crash Course/1. Introduction to Python Crash Course.mp43.09MB

7. Python Crash Course/2. Jupyter Notebook Overview.mp413.22MB

7. Python Crash Course/3. Python Crash Course Part One.mp429.52MB

7. Python Crash Course/4. Python Crash Course Part Two.mp422.26MB

7. Python Crash Course/5. Python Crash Course Part Three.mp423.17MB

7. Python Crash Course/6. Python Crash Course Exercises.mp45.01MB

7. Python Crash Course/7. Python Crash Course Exercise Solutions.mp425.11MB

8. Spark DataFrame Basics/1. Introduction to Spark DataFrames.mp44.7MB

8. Spark DataFrame Basics/2. Spark DataFrame Basics.mp421.08MB

8. Spark DataFrame Basics/3. Spark DataFrame Basics Part Two.mp419.72MB

8. Spark DataFrame Basics/4. Spark DataFrame Basic Operations.mp427.58MB

8. Spark DataFrame Basics/5. Groupby and Aggregate Operations.mp428.83MB

8. Spark DataFrame Basics/6. Missing Data.mp417.22MB

8. Spark DataFrame Basics/7. Dates and Timestamps.mp424.13MB

9. Spark DataFrame Project Exercise/1. DataFrame Project Exercise.mp411.9MB

9. Spark DataFrame Project Exercise/2. DataFrame Project Exercise Solutions.mp445.06MB