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React JS Masterclass - Go From Zero To Job Ready - Dynamic Page Title / 140
In this video, you will learn to validate our forms in React. Here, the form will force us to enter details before we are taken to the product confirmation page.
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React JS Masterclass - Go From Zero To Job Ready - Dashboard: Condition 1 / 134
In this video, we will explore the admin dashboard and look at the few available features on the dashboard.
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Deep Learning - Artificial Neural Networks with Tensorflow - Making Predictions
In this video, we will be talking about another important part of creating a model, which is making predictions. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Regression Notebook
In this video, we will understand linear regression by proving the Mosse law true. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Final Testing
In this video, we will run our project and check whether our program runs as required. This clip is from the chapter "Optional Learning - Mini Project with Python Basics" of the series "Deep Learning - Computer Vision for Beginners Using...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Logic Building
In this video, we will work on building the logic. This clip is from the chapter "Optional Learning - Mini Project with Python Basics" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Text Classification with CNNs
In this video, we will move into action and work on text classification with CNNs. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this...
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Deep Learning - Convolutional Neural Networks with TensorFlow - CNNs for Text
In this video, we will understand how we can use CNNs for text sequences. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section,...
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Social Media Automation using Python - Fetching the Playlist Information
In this video, you will learn to use the api.get_playlists() function to retrieve playlist information from YouTube. You can use the process to retrieve playlists, playlist items, playlist items by ID, and playlists by ID. This clip is...
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Social Media Automation using Python - Displaying Data of Playlists
After learning to retrieve playlist information, you will learn to use Python coding to display the playlist information to suit our requirements, such as snippets, number of videos, and content details. This clip is from the chapter...
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Recommender Systems with Machine Learning - Count
This video explains the count function. This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null
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Recommender Systems with Machine Learning - Data Manipulation for Content-Based Filtering
This video explains data manipulation for content-based filtering with machine learning. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: 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. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Develop Vocabulary
In this video, you will learn to combine the datasets, test data, and train data; we will use the all_data function to combine the datasets. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Data Preparation
We will use the two datasets available for our project, the training QA and the testing QA. We will save them in our project folder and invoke them as needed. This clip is from the chapter "Advanced Chatbots with Deep Learning and...
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Recommender Systems: An Applied Approach using Deep Learning - Accuracy Versus Recommendations
In this video, we will perform data visualization with the project we created and check the model’s accuracy. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied...
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Recommender Systems: An Applied Approach using Deep Learning - Random Train-Test Split
In this lesson, you will learn to perform the test train split, which will do the training split and then create a prediction; we will use a random dataset (80-20 ratio). This clip is from the chapter "Project Amazon Product...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated. This clip is from the chapter...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length and question length and define the vocabulary size. We will now build our encoder using the sequential model. This clip is from the...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Vectorizing Train and Test Data
After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python"...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts. This clip is from the chapter "Advanced Chatbots with Deep...
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The Complete Vue.js Course for Beginners - Vue.js Interpolation
Vue.js interpolation is simply the process of displaying a string that's defined within your component logic. In this video, we will see how we can use interpolation and its role in Vue.js This clip is from the chapter "Getting Started...
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The Ultimate Excel VBA Course - Learn and Master VBA Fast - The Left and Right Functions
This video explains the left and right functions, which will help us chop a string. The left function will help chop the characters from the start of the string and the right function will help chop the character from the end of the...
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The Ultimate Excel VBA Course - Learn and Master VBA Fast - Trim, Len, and Space
This video explains three different functions: Trim, which is used to trim unwanted space from the text; the Len function is used to get the number of characters the string has; and the Space function is useful for formatting output and...