This video explains linear regression - practical approach.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...

This video explains logistic regression and specifically if the target here is discrete or binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...

This video explains the various classification models in machine learning.
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This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS...

In this video, we will cover linear regression from scratch- part 1.
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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 to...

This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...

The second part of the tree-based methods explains random forests.
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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,...

This video explains the support vector machine called SVM and its introduction.
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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...

This video explains a lab session on Support Vector Machines or SVM.
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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,...

This video explains linear regression using an example of predicting fuel efficiency.
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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 the foundation of the linear regression model, which is the very first approach to supervised learning.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...

This video explains one of the most basic forms of classification, which is the logistic regression model.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the...

This video explains some basic notations in statistical learning, such as Xij.
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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...

This video explains regression models and performance metrics.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

This video explains linear regression OLS assumptions and testing.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression model optimization.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains linear regression model building.<br<br/>/>

This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.

This video explains classification problems and performance metrics.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

This video explains how machines learn.<br<br/>/>

This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with Python.

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 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 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...