This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects.
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This clip is from the chapter "Artificial Neural Networks" of the series...

This video demonstrates some of the basic commands in Python specifically the print statement, data structures, variables, and how to define a function. This clip is from the chapter "Artificial Neural Networks" of the series...

This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...

This video explains logistic regression with a little bit of mathematics behind it.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on...

This video explains intuitive understanding of logistic regression.
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This clip is from the chapter "Introduction to SAS Predictive Modeling Using Logistic Regression" of the series "Complete SAS Programming Guide - Learn SAS...

This video focuses on a three-phase multiple imputation process using SAS.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and...

In this video, we will cover conditional probability in machine learning.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...

In this video, we will cover mathematical wrap-up on machine learning.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A...

In this video, you will learn about correlation between the most-rated movies.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...

In this video, we will cover 3D visualization of the predicted values.
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This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn...

In this video, we will cover 3D visualization of the clusters.
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This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about...

This video introduces you to decision tree - model concept.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...

This is an exercise solution video that explains why activation function is required.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and...

In this video, we will understand entropy.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...

In this video, you will learn about sorting values.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...

In this video, you will learn how to sort the most-rated movies.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...

In this video, you will learn how to repeat the process for another movie.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we...

In this video, you will learn about the number of predicted clusters.
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This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn...

In this video, we will cover K-Nearest Neighbors (KNN) using Python.
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This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's...

In this video, we will cover the K-Means clustering algorithm.
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This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about...

In this video, you will learn how to make a Jointplot of the ratings and number of ratings.
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This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In...

In this video, we will have a quick introduction to decision trees.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...