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Deep Learning - Computer Vision for Beginners Using PyTorch - Data Structures in Python
In this video, we will understand the data structures in Python. This clip is from the chapter "Optional Learning - Python Basics" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will be...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Data Visualization
In this video, you will learn how to visualize your data to understand it better. This clip is from the chapter "CNN in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, you will learn...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Tensor Slicing and Reshape
In this video, you will learn how to reshape and slice a Tensor. This clip is from the chapter "Diving into PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will dive into PyTorch...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data
In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regressors
In this video, you will learn how to add holidays and exogenous regressors to our data. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this...
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Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island - Expense Category
This video explains the expense category. This clip is from the chapter "Configurable Widget Deep Dive" of the series "Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island".This section explains more about the configurable widget...
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Python Bootcamp in a Day - Python Programming for Beginners - List Functions - More Ways to Work with Lists
This video explains list functions. This clip is from the chapter "Storing Multiple Things" of the series "Python Bootcamp in a Day - Python Programming for Beginners".This section explains storing multiple things.
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Python Bootcamp in a Day - Python Programming for Beginners - Adding Items to a List
This video explains how to add items to a list. This clip is from the chapter "Storing Multiple Things" of the series "Python Bootcamp in a Day - Python Programming for Beginners".This section explains storing multiple things.
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Python Bootcamp in a Day - Python Programming for Beginners - String Functions
This video explains string functions in Python. This clip is from the chapter "Processing Information" of the series "Python Bootcamp in a Day - Python Programming for Beginners".This section explains how to process information in Python.
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Python Bootcamp in a Day - Python Programming for Beginners - Slices
This video explains slices in Python. This clip is from the chapter "Processing Information" of the series "Python Bootcamp in a Day - Python Programming for Beginners".This section explains how to process information in Python.
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Python Bootcamp in a Day - Python Programming for Beginners - Indexing
This video explains indexing in Python. This clip is from the chapter "Processing Information" of the series "Python Bootcamp in a Day - Python Programming for Beginners".This section explains how to process information in Python.
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Deep Learning - Convolutional Neural Networks with TensorFlow - Code Preparation (NLP)
In this video, we will look at the code preparation we will use for NLP and understand it. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Embeddings
In this video, we will understand the text as sequence data. This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you will learn...
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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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Recommender Systems with Machine Learning - Logarithm of Count
This video helps you explain the logarithm of count. 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 - Making Recommendations-1
This video explains how to make song recommendations. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This section focuses on...
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Recommender Systems with Machine Learning - Find the st Title
This video explains how to find the closest title from the dataset as per the input. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine...
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Recommender Systems with Machine Learning - FuzzyWuzzy Implementation
This video helps you with the implementation of the FuzzyWuzzy algorithm. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
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Recommender Systems with Machine Learning - Occurrence Count
This video demonstrates the occurrence count of the specific condition. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
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Recommender Systems with Machine Learning - Missing Values
This video explains how to churn out the missing values from the dataset. This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...
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Recommender Systems with Machine Learning - Age Distribution for Users
This video helps you find the age distribution for users from the dataset. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
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Recommender Systems with Machine Learning - Making Recommendations
This video helps you with making recommendations. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine learning for...
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Recommender Systems with Machine Learning - Recommendation Engine
This video talks about the recommendation engine in detail. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
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Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Tokenizer
You will learn to import the tokenizer with and without filters. We will fit the tokenizer into our vocabulary using the fit_on_texts built-in command. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of...