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Section 01: Introduction | |||
Introduction | 00:10:00 | ||
Section 02: Setup and Installations | |||
Python Installation | 00:03:00 | ||
Installing Third Party Libraries | 00:03:00 | ||
Installing Apache Spark | 00:12:00 | ||
Installing Java (Optional) | 00:05:00 | ||
Testing Apache Spark Installation | 00:06:00 | ||
Installing MongoDB | 00:04:00 | ||
Installing NoSQL Booster for MongoDB | 00:07:00 | ||
Section 03: Data Processing with PySpark and MongoDB | |||
Integrating PySpark with Jupyter Notebook | 00:05:00 | ||
Data Extraction | 00:19:00 | ||
Data Transformation | 00:16:00 | ||
Loading Data into MongoDB | 00:13:00 | ||
Section 04: Machine Learning with PySpark and MLlib | |||
Data Pre-processing | 00:19:00 | ||
Building the Predictive Model | 00:12:00 | ||
Creating the Prediction Dataset | 00:08:00 | ||
Section 05: Data Visualization | |||
Loading the Data Sources from MongoDB | 00:17:00 | ||
Creating a Map Plot | 00:33:00 | ||
Creating a Bar Chart | 00:09:00 | ||
Creating a Magnitude Plot | 00:15:00 | ||
Creating a Grid Plot | 00:09:00 | ||
Section 06: Creating the Data Pipeline Scripts | |||
Installing Visual Studio Code | 00:05:00 | ||
Creating the PySpark ETL Script | 00:24:00 | ||
Creating the Machine Learning Script | 00:30:00 | ||
Creating the Dashboard Server | 00:21:00 | ||
Source Code and Notebook | |||
Source Code and Notebook | 00:00:00 | ||
Order Your Certificate | |||
Order your Certificate. | 00:00:00 |
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