In this session, we will find out the best model and evaluate the predictions.
r/>
This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section...

In the session, we will invoke glue PySpark job from the Lambda function.
r/>
This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and...

In this session, we will see how we can manipulate the column values.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark DataFrames...

This video provided you with an overview of the course.
r/>
This clip is from the chapter "Introduction" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".Welcome to the course. This section introduces you...

In this lesson, you will learn about the schema of Spark DataFrames.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark DataFrames...

This video explains how grouping is happening by visualizing it for better understanding.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses...

Let's discuss the solution to the quiz on calculating the word count.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark DataFrames...

Let's discuss the solution for the quiz on Filter() function.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.

Let's start working on the project. We will first read data from the file in the DF followed by some analysis work.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and...

In this video, you will learn about hyperparameter tuning and cross validation.
r/>
This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section...

In this session, we will find the minimum and maximum movie ratings from the dataset.
r/>
This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on...

Let's continue loading data (creating RDS) from the previous lesson.
r/>
This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract Transform...

In this lesson, we will work on getting the minimum and maximum marks achieved per course.
r/>
This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section...

This video explains machine learning terminology.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

Learn what utility matrix is with the help of an example.
r/>
This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section primarily focuses on...

In this video, we will work on transforming the data.
r/>
This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract Transform Load (ETL)...

In this session, we will work on the first steps of the mini project, which is showing the number of students in the file.
r/>
This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with...

In this session, we will replicate the code from the previous lesson to our local machine.
r/>
This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section...

Let's go ahead and discuss the architecture of the entire project in this session.
r/>
This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with...

In this video, you will learn about the concepts of cache and persist.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark DataFrames...

This video covers glue job (change capture).
r/>
This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers...

In this session, we will explore the dataset and put the dataset in the DBFS of Databricks and read the data.
r/>
This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with...

Let's get started with Spark DataFrames. In this session, we will be creating the first DataFrames.
r/>
This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This...

This video introduces you to collaborative filtering.
r/>
This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section primarily focuses on...