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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Program: Date Difference
In this video, we will learn to write a simple program that uses the DateTime class to calculate the age difference between two siblings.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - DateTime
We will look at the Java built-in API that contains classes for representing data and time, the java.util, java.time, java.sql, and java.text packages.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Boolean & Logical Operators
In this lecture, we will learn about the Boolean datatype and also look at logical operators in Java. We will create statements and have our program evaluate whether the statements are true or false.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Char Data Type
In this video, we will understand the char datatype and briefly look at the string datatype. We will define several char variables in upper and lower case and numbers and integers.
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Fundamentals Of Object-Oriented Programming: Java and IntelliJ - Variables & Data Types
In this lesson, we will learn about variables and look at the various datatypes available in Java. We will create a new Java project and understand the different data types.
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Deep Learning - Crash Course 2023 - Data Standardization - 2
In this video, we will understand when and how to apply standard Scaler with data standardization. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Data Standardization - 1
In this video, we will start working on data standardization with Sigmoid. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Crash Course 2023 - Visualize the Accuracy with Epochs
In this video, you will learn how to use graphs to visualize the accuracy of your deep learning model with increasing epochs. You will also be given an assignment to test your understanding. This clip is from the chapter "Perceptron in...
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Deep Learning - Crash Course 2023 - Perceptron in Python
In this video, we will work on programming our Perceptron model in Python. This clip is from the chapter "Perceptron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron in Python.
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Deep Learning - Crash Course 2023 - MP Neuron in Python
In this video, we will work on our MP Neuron model to predict the output of the given dataset. This clip is from the chapter "MP Neuron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Crash Course 2023 - Train Test Split
In this video, you will learn how to use Train_Test_Split on our dataset with Scikit-learn. This clip is from the chapter "MP Neuron in Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Crash Course 2023 - Functions and Classes in Python
In this video, we will understand what functions and classes are in Python. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation...
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Deep Learning - Crash Course 2023 - Python Control statements - While and For
In this video, we will look at the different loops in Python called While and For. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Control Statements Python if…else
In this video, we will explain the control statements in Python like if…else statements. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Python Basics - Containers in Python
In this video, you will learn about tuples, sets, and dictionaries. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation of Python...
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Deep Learning - Crash Course 2023 - Python Basics - Data Types
In this video, you will learn about variables, comments in Python, basic data types, Boolean, strings, and Python containers. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course...
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Supercharge Scala Future | FP-Tower - For Comprehension
This video demonstrates the comprehension part. This clip is from the chapter "Build Your Own IO" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building your own IO (Input/Output).
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Advanced Chatbots with Deep Learning and Python - Max Story and Question Length
In this video, you will learn to define the project's story length and question length, determined by the number of words in the story or question.
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Microsoft Project 2021 From Beginners to Advanced - Exercise 11-1
In this demonstration exercise, we will mark tasks as complete, remove the % work complete column, add the % work complete column, run the work overview report and modify it, and print it to a PDF file. This clip is from the chapter...
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Microsoft Project 2021 From Beginners to Advanced - Print Views, Notes, and Reports
Here, we will learn to print views, notes, and reports in Project 2021. We will learn to use the print preview feature to adjust page layout and formatting and to use the print command to send projects to a printer or PDF file. This clip...
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Making Recommendations
In this video, we will understand how to make a recommendation after creating the recommendation engine.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: tf-idf Matrix
In this video, you will learn to make the recommendation engine using the tf-idf matrix.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering
After learning to explore genres, we will look at term frequency and inverse document frequency.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Making Recommendations
This is the final part of the project, where we create functions for the content-based recommender.