This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning.
<
br/>
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.
<
br/>
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.
<
br/>
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.
<
br/>
This clip is from the...

This video explains a lab session on a decision tree, getting dependencies, and how to create mock data.
<
br/>
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.
<
br/>
This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This...

This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio.
<
br/>
This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming...

In this video, you will be performing multiple regression.
<
br/>
This clip is from the chapter "Statistical Analysis – Part 2 (Linear and Multiple Regression)" of the series "Complete SAS Programming Guide - Learn SAS and Become a...

This video is the second part of the two-part video that explains how to predict order quantities with a linear regression from Amazon machine learning.
<
br/>
This clip is from the chapter "Appendix-Machine Learning Topics for the...

In this video, we will cover mathematical wrap-up on machine learning.
<
br/>
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, we will cover regression.

In this video, we will cover Pipeline in Scikit-Learn for machine learning project.
<
br/>
This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover linear regression from scratch- part 2.
<
br/>
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 regression problems.<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 talks about asking the model to make predictions.
<
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...

This video explains recurrent neural networks and why we want to use RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...

This video explains the need for taking up the course and introduces you to the author. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course...

This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...

This video explains the purpose of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will learn every...

This video explains padding in convolutional neural networks. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...

This video demonstrates functional API versus sequential API. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will...

This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...

This video demonstrates sequence-to-sequence stock candlestick forecast. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...

This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in...