In this video, you will learn how to evaluate the performance of the regression model.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In...

In this video, we will cover density-based clustering.<br<br/>/>

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 clustering.

In this video, we will cover the decision tree structure.
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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,...

This video explains what we mean by Tensor and Matrix. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...

This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

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 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 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 part of the video explains decision tree.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as...

This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains...

This video explains a lab session on Eigenfaces using PCA.
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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 linear regression, ridge...

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 going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear.
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This clip is from the...

This video explains a lab session on a decision tree, getting dependencies, and how to create mock data.
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This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...

This video explains classification metrics and will cover terminologies such as accuracy, specificity, sensitivity, and so on.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...

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...

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...