Udemy - Spark and Python for Big Data with PySpark

Files:

• 1. Introduction.mp4 (11.6 MB)
• 1. Introduction.srt (4.5 KB)
• 2. Course Overview.mp4 (14.4 MB)
• 2. Course Overview.srt (14.7 KB)
• 2.1 Course Overview Slides.html (0.2 KB)
• 2.2 Python-and-Spark-for-Big-Data-master.zip.zip (1.7 MB)
• 3. Frequently Asked Questions.html (0.4 KB)
• 3.1 Python-and-Spark-for-Big-Data-master.zip.zip (1.7 MB)
• 4. What is Spark Why Python.mp4 (48.1 MB)
• 4. What is Spark Why Python.srt (30.5 KB)
• 4.1 Spark and Python Slides.html (0.2 KB)

• 1. Introduction to Machine Learning and ISLR.mp4 (18.9 MB)
• 1. Introduction to Machine Learning and ISLR.srt (17.6 KB)
• 1.1 Slides for ML Intro.html (0.2 KB)
• 2. Machine Learning with Spark and Python with MLlib.mp4 (51.3 MB)
• 2. Machine Learning with Spark and Python with MLlib.srt (15.8 KB)

• 1. Linear Regression Theory and Reading.mp4 (9.9 MB)
• 1. Linear Regression Theory and Reading.srt (8.1 KB)
• 1.1 Slides for Linear Regression.html (0.2 KB)
• 2. Linear Regression Documentation Example.mp4 (40.6 MB)
• 2. Linear Regression Documentation Example.srt (21.9 KB)
• 3. Regression Evaluation.mp4 (12.0 MB)
• 3. Regression Evaluation.srt (10.8 KB)
• 4. Linear Regression Example Code Along.mp4 (39.2 MB)
• 4. Linear Regression Example Code Along.srt (23.3 KB)
• 4.1 Ecommerce_Customers.csv.csv (84.8 KB)
• 5. Linear Regression Consulting Project.mp4 (6.8 MB)
• 5. Linear Regression Consulting Project.srt (4.9 KB)
• 6. Linear Regression Consulting Project Solutions.mp4 (38.8 MB)
• 6. Linear Regression Consulting Project Solutions.srt (22.7 KB)

• 1. Logistic Regression Theory and Reading.mp4 (20.6 MB)
• 1. Logistic Regression Theory and Reading.srt (17.9 KB)
• 1.1 Slides for Logistic Regression.html (0.2 KB)
• 2. Logistic Regression Example Code Along.mp4 (53.4 MB)
• 2. Logistic Regression Example Code Along.srt (23.5 KB)
• 3. Logistic Regression Code Along.mp4 (41.5 MB)
• 3. Logistic Regression Code Along.srt (27.3 KB)
• 3.1 Explanation of AUC.html (0.1 KB)
• 3.2 Great Example from Databricks.html (0.1 KB)
• 4. Logistic Regression Consulting Project.mp4 (6.3 MB)
• 4. Logistic Regression Consulting Project.srt (5.3 KB)
• 5. Logistic Regression Consulting Project Solutions.mp4 (34.0 MB)
• 5. Logistic Regression Consulting Project Solutions.srt (15.2 KB)

• 1. Tree Methods Theory and Reading.mp4 (14.7 MB)
• 1. Tree Methods Theory and Reading.srt (11.7 KB)
• 1.1 Slides for Tree Methods.html (0.2 KB)
• 2. Tree Methods Documentation Examples.mp4 (34.2 MB)
• 2. Tree Methods Documentation Examples.srt (20.7 KB)
• 3. Decision Tress and Random Forest Code Along Examples.mp4 (49.1 MB)
• 3. Decision Tress and Random Forest Code Along Examples.srt (30.8 KB)
• 4. Random Forest - Classification Consulting Project.mp4 (5.4 MB)
• 4. Random Forest - Classification Consulting Project.srt (3.8 KB)
• 5. Random Forest Classification Consulting Project Solutions.mp4 (15.9 MB)
• 5. Random Forest Classification Consulting Project Solutions.srt (11.8 KB)

• 1. K-means Clustering Theory and Reading.mp4 (12.9 MB)
• 1. K-means Clustering Theory and Reading.srt (10.7 KB)
• 1.1 Slides for Clustering.html (0.2 KB)
• 2. KMeans Clustering Documentation Example.mp4 (20.9 MB)
• 2. KMeans Clustering Documentation Example.srt (14.7 KB)
• 3. Clustering Example Code Along.mp4 (27.9 MB)
• 3. Clustering Example Code Along.srt (18.5 KB)
• 4. Clustering Consulting Project.mp4 (6.6 MB)
• 4. Clustering Consulting Project.srt (4.7 KB)
• 5. Clustering Consulting Project Solutions.mp4 (23.0 MB)
• 5. Clustering Consulting Project Solutions.srt (11.5 KB)

• 1. Introduction to Recommender Systems.mp4 (12.7 MB)
• 1. Introduction to Recommender Systems.srt (10.0 KB)
• 1.1 Recommender Slides.html (0.2 KB)
• 2. Recommender System - Code Along Project.mp4 (24.6 MB)
• 2. Recommender System - Code Along Project.srt (18.0 KB)

• 1. Introduction to Natural Language Processing.mp4 (14.3 MB)
• 1. Introduction to Natural Language Processing.srt (13.2 KB)
• 1.1 NLP Slides.html (0.2 KB)
• 2. NLP Tools Part One.mp4 (36.2 MB)
• 2. NLP Tools Part One.srt (22.9 KB)
• 3. NLP Tools Part Two.mp4 (18.9 MB)
• 3. NLP Tools Part Two.srt (10.7 KB)
• 4. Natural Language Processing Code Along Project.mp4 (35.2 MB)
• 4. Natural Language Processing Code Along Project.srt (19.6 KB)

• 1. Introduction to Streaming with Spark!.mp4 (32.6 MB)
• 1. Introduction to Streaming with Spark!.srt (17.5 KB)
• 1.1 Spark Streaming Slides.html (0.2 KB)
• 2. Spark Streaming Documentation Example.mp4 (28.6 MB)
• 2. Spark Streaming Documentation Example.srt (17.4 KB)
• 3. Spark Streaming Twitter Project - Part.mp4 (11.8 MB)
• 3. Spark Streaming Twitter Project - Part.srt (7.3 KB)
• 4. Spark Streaming Twitter Project - Part Two.mp4 (29.3 MB)
• 4. Spark Streaming Twitter Project - Part Two.srt (18.2 KB)
• 5. Spark Streaming Twitter Project - Part Three.mp4 (55.0 MB)
• 5. Spark Streaming Twitter Project - Part Three.srt (29.3 KB)

• 1. Bonus Lecture.html (0.5 KB)

• 1. Set-up Overview.mp4 (10.8 MB)
• 1. Set-up Overview.srt (10.2 KB)
• 1.1 Slides for Installation Options Overview.html (0.2 KB)
• 1.2 Slides for Installation.html (0.2 KB)
• 2. Note on Installation Sections.html (0.3 KB)

• 1. Local Installation VirtualBox Part 1.mp4 (37.7 MB)
• 1. Local Installation VirtualBox Part 1.srt (18.2 KB)
• 2. Local Installation VirtualBox Part 2.mp4 (46.5 MB)
• 2. Local Installation VirtualBox Part 2.srt (18.9 KB)
• 3. Setting up PySpark.mp4 (15.6 MB)
• 3. Setting up PySpark.srt (8.3 KB)

• 1. AWS EC2 Set-up Guide.mp4 (5.3 MB)
• 1. AWS EC2 Set-up Guide.srt (4.4 KB)
• 2. Creating the EC2 Instance.mp4 (63.0 MB)
• 2. Creating the EC2 Instance.srt (24.4 KB)
• 3. SSH with Mac or Linux.mp4 (9.3 MB)
• 3. SSH with Mac or Linux.srt (7.5 KB)
• 4. Installations on EC2.mp4 (50.4 MB)
• 4. Installations on EC2.srt (20.2 KB)

• 1. Databricks Setup.mp4 (27.6 MB)
• 1. Databricks Setup.srt (18.9 KB)

• 1. AWS EMR Setup.mp4 (45.3 MB)
• 1. AWS EMR Setup.srt (26.4 KB)

• 1. Introduction to Python Crash Course.mp4 (3.1 MB)
• 1. Introduction to Python Crash Course.srt (2.4 KB)
• 1.1 Slides for Python Crash Course.html (0.2 KB)
• 2. Jupyter Notebook Overview.mp4 (13.2 MB)
• 2. Jupyter Notebook Overview.srt (11.4 KB)
• 3. Python Crash Course Part One.mp4 (29.5 MB)
• 3. Python Crash Course Part One.srt (23.8 KB)
• 4. Python Crash Course Part Two.mp4 (22.3 MB)
• 4. Python Crash Course Part Two.srt (17.6 KB)
• 5. Python Crash Course Part Three.mp4 (23.2 MB)
• 5. Python Crash Course Part Three.srt (16.1 KB)
• 6. Python Crash Course Exercises.mp4 (5.0 MB)
• 6. Python Crash Course Exercises.srt (2.5 KB)
• 7. Python Crash Course Exercise Solutions.mp4 (25.1 MB)
• 7. Python Crash Course Exercise Solutions.srt (12.8 KB)

• 1. Introduction to Spark DataFrames.mp4 (4.7 MB)
• 1. Introduction to Spark DataFrames.srt (3.6 KB)
• 1.1 Slides for Spark DataFrame Basics.html (0.2 KB)
• 2. Spark DataFrame Basics.mp4 (21.1 MB)
• 2. Spark DataFrame Basics.srt (16.4 KB)
• 3. Spark DataFrame Basics Part Two.mp4 (19.7 MB)
• 3. Spark DataFrame Basics Part Two.srt (14.4 KB)
• 4. Spark DataFrame Basic Operations.mp4 (27.6 MB)
• 4. Spark DataFrame Basic Operations.srt (16.0 KB)
• 5. Groupby and Aggregate Operations.mp4 (28.8 MB)
• 5. Groupby and Aggregate Operations.srt (19.0 KB)
• 6. Missing Data.mp4 (17.2 MB)
• 6. Missing Data.srt (13.5 KB)
• 7. Dates and Timestamps.mp4 (24.1 MB)
• 7. Dates and Timestamps.srt (14.6 KB)

• 1. DataFrame Project Exercise.mp4 (11.9 MB)
• 1. DataFrame Project Exercise.srt (5.4 KB)
• 2. DataFrame Project Exercise Solutions.mp4 (45.1 MB)
• 2. DataFrame Project Exercise Solutions.srt (22.5 KB)

• Read Me.txt (1.0 KB)
• [FreeAllCourse.Com].URL (0.2 KB)