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Deep Learning - Deep Neural Network for Beginners Using Python - Problem of Negative Scores
In this video, we will work on the problem of negative scores. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the...
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Deep Learning - Deep Neural Network for Beginners Using Python - Combining Probabilities
In this video, we will work on non-linear boundaries and learn how to combine probabilities. 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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Python - Object-Oriented Programming - Different Methods Inside the Class Part 2: Use Cases
In this video, we will use the other two methods, namely the class and static methods. We will code classes and look at the attributes of these classes with examples. This clip is from the chapter "Class Level Versus Object Level" of the...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: One Hot Encoding
In this video, we will cover one hot encoding. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
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Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: Data Standardization
In this video, we will cover data standardization. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Implementing Convolution in Python Revisited
In this video, we will cover implementing convolution in Python revisited. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Basics of Programming: Sorting Problem in Python
In this video, we will cover sorting in Python. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 2
In this video, we will cover language modelling next word prediction Python 2. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Activity
In this video, we will cover activity. 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 section, we will cover...
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Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Architecture
In this video, we will cover modelling RNN architecture. 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 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 DateTime
In this video, we will cover Pandas DateTime. 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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Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Converting an Image to Grayscale in Python
In this video, we will cover converting an image to grayscale in Python. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Python Practice Subsets
In this video, we will cover Python practice subsets. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - End-to-End Example on Uploading Files with AutoIT Selenium
This video presents an end-to-end example of uploading files with AutoIT Selenium. This clip is from the chapter "File Uploading (AUTO IT) and Downloading with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced...
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - Date Class Concepts
This video explains the date class concepts. This clip is from the chapter "Core Java Tutorial - Part 2" of the series "Selenium WebDriver with Java - Basics to Advanced and Frameworks".This section explores core Java.
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - Converting Framework into TestNG and Configuring TestNG Extended Module (XM) File
This video explains how to convert a Framework into TestNG and configure the TestNG XM file. This clip is from the chapter "Framework Building from Scratch - Real Time Project" of the series "Selenium WebDriver with Java - Basics to...
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - Building Programming Logic to Process Items in an Array for Cart
This video explains how to build programming logic to process items in an array for a cart. This clip is from the chapter "Deep Dive into Functional Testing with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced...
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Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Orthonormal Basis
In this video, we will cover Orthonormal Basis. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Selenium WebDriver with Java - Basics to Advanced and Frameworks - Practice Exercises on Tables - 2
This video presents the second part of practice exercises on Tables. This clip is from the chapter "Practical Problems and Methods to Handle them with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced and...
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Converting Units
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1HR Q11, which involves unit conversion. In this video, we will start by reviewing the basic units of length and time and their relationship. Then,...
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Converting Numbers to Ordinary and Standard Form
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1H Q5, which involves the conversion of numbers to ordinary and standard form.
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Fractions: Solving Problems with Proportions
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1HR Q13, which involves proportions. By the end of the video, learners will understand how to use proportions to solve word problems and how to set...