In this video, we will understand regression in ANN.
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This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...

In this video, we will understand how a model "learns".
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a...

In this video, you will learn how to work with null values.
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This clip is from the chapter "Optional Learning - Python for Data Science - with Pandas" of the series "Deep Learning - Computer Vision for Beginners Using...

In this video, you will learn how to load our CIFAR10 dataset in PyTorch.
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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...

In this video, we will have a quick course introduction.
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This clip is from the chapter "Welcome Aboard" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".Welcome to the course! This is a quick...

In this video, you will learn how to detect changepoint with Prophet.
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This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we...

In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course.
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This clip is from the chapter "Welcome" of the series...

In this video, we will dive into action and look at codes for transfer learning with data augmentation.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural...

In this video, you will learn how to work with large image datasets in TensorFlow and Keras with data generators.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning -...

In this video, we will get introduced to the concept of transfer learning.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In...

In this video, we will look at the code preparation we will use for NLP and understand it.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will understand the text as sequence data.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, you...

In this video, we will look at the code preparation we will use for CNN and understand it.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

In this video, we will discuss the two approaches used for transfer learning, which we will use in the next videos.
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This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning -...

In this video, we will move into action and understand how to do text preprocessing using Colab notebook.
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This clip is from the chapter "Natural Language Processing (NLP)" of the series "Deep Learning - Convolutional Neural...

In this video, we will work on image classification with the CIFAR-10 dataset.
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This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with...

This video explains the count function.<br<br/>/>

This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems with Machine Learning".null

This video involves a deep understanding of the dataset to be explored for this module.
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This clip is from the chapter "Project 2: Movie Recommendation System Using Collaborative Filtering" of the series "Recommender Systems...

This video helps you with exploring genres from the dataset.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...

This video explains how to churn out the missing values from the dataset.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine...

This video explains how to use the dataset to your advantage.
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This clip is from the chapter "Project 1: Song Recommendation System Using Content-Based Filtering" of the series "Recommender Systems with Machine Learning".This...

This video helps you with user-based collaborative filtering.
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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...

This video helps you with collaborative filtering using KNN.
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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...

This video explains and demonstrates item-based filtering data preparation.
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This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...