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PySpark and AWS: Master Big Data with PySpark and AWS - RDD Map (Simple Function)
In this lesson, you will learn how to use the Map() function excluding the Lambda function. 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...
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Job-Ready SQL in an Afternoon - Row Numbers and Ranks
In this video, we will cover row numbers and ranks. This clip is from the chapter "Window Functions" of the series "Job-Ready SQL in an Afternoon".In this section, we will cover Window functions.
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Multitasking on iPad
In this lesson, Mitchell will teach you how to multitask on iPad by displaying split screened applications, and demoing some key gestures.
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Practical Data Science using Python - NumPy Arrays 3
This video explains iterating through an array. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Practical Data Science using Python - Decision Tree - Model Optimization using Grid Search Cross Validation
This video explains decision tree - model optimization using grid search cross validation. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Logistic Regression
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: K-Nearest Neighbors
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python In Practice - 15 Projects to Master Python - Getting Input from the User Using Entry Field Widgets
This video explains how to get input from the user using entry field widgets. This clip is from the chapter "Advanced Level: Python GUI" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the...
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Python In Practice - 15 Projects to Master Python - Creating a Function to Smartly Round Decimal Points in a Result of Addition
This video explains the functions exercise to create a sum_r( ) function. This clip is from the chapter "Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on functions.
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Python In Practice - 15 Projects to Master Python - Asking the Model to Make Predictions - Machine Learning with Python
This video talks about asking the model to make predictions. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with...
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The Ultimate Guide to Python Programming With Python 3.10 - Property Setter and Deleter
In this video, you will learn to use the @property decorator. This clip is from the chapter "Object-Oriented Programming" of the series "The Ultimate Guide to Python Programming with Python 3.10".This section focuses on object-oriented...
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The Ultimate Guide to Python Programming With Python 3.10 - Pattern Matching
Here, you will learn to create your own terminal simulation, which will create different statements and match the list directories. This clip is from the chapter "Structural Pattern Matching" of the series "The Ultimate Guide to Python...
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Web Scraping Tutorial with Scrapy and Python for Beginners - How to Select Data Using Regular Expressions with Scrapy
In this video, you will learn how to extract data from HTML tags using regular expressions. You'll see how to create a pattern to match specific data and how to use regular expressions to extract that data. You'll also learn how to...
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Deep Learning - Deep Neural Network for Beginners Using Python - Splitting the Data (NN Implementation)
In this video, you will learn how to implement splitting the data in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Scoring Validation Dataset Using Code
This video helps you with scoring validation dataset using code. This clip is from the chapter "SAS Predictive Modeling, Evaluation Metrics" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Strings
In this video, we will cover Pandas strings. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Group By
In this video, we will cover Pandas group by. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 06 - Writing Assertions for Arrays - assertArrayEquals
JUnit 5: Step 06 - Writing Assertions for Arrays - assertArrayEquals\ This clip is from the chapter "JUnit 5" of the series "Learn Java Unit Testing with JUnit 5 in 20 Steps".This section firstly introduces you to the course and gives...
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Data Structures and Algorithms The Complete Masterclass - Merge Sort
This video introduces you to merge sort. This clip is from the chapter "Algorithm: Sorting Advanced" of the series "Data Structures and Algorithms: The Complete Masterclass".This section explains the concept of advanced sorting.
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Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vocabulary Implementation from File
In this video, we will cover vocabulary implementation from file. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - Debugging the Code to Understand How the Flow is Built
This video explains how to debug the code to understand how flow is built. This clip is from the chapter "Deep Dive into Functional Testing with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced and...
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Business Intelligence with Microsoft Power BI - with Material - Split and Trim Functions
This video demonstrates how to use the split and trim functions in Power Query. This clip is from the chapter "Text Functions in Power Query" of the series "Business Intelligence with Microsoft Power BI - with Material".This section...
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Business Intelligence with Microsoft Power BI - with Material - Column from Examples - Splitting Text
This video explains how to work on split text. This clip is from the chapter "Introduction to Conditional Column and Column from Examples" of the series "Business Intelligence with Microsoft Power BI - with Material".This section...
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AWS Certified Data Analytics Specialty 2021 - Hands-On! - Introduction to Amazon Athena
This video provides an introduction to Amazon Athena. This clip is from the chapter "Domain 4: Analysis" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn how to build a more complex...