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TORRENT DETAILS
[UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression In Python
TORRENT SUMMARY
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This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.
This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.
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FILE LIST
Filename
Size
01 Start Here/001 Introduction and Outline.mp4
7.5 MB
01 Start Here/002 How to Succeed in this Course.mp4
8.8 MB
01 Start Here/003 Review of the classification problem.mp4
3 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4
14.8 MB
01 Start Here/quizzes/001 Easy first quiz.html
2.4 KB
02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4
7.5 MB
02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4
4.2 MB
02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4
7.5 MB
02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4
5.8 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4
11.2 MB
02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4
5.7 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4
10 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4
6.4 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4
4.5 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4
9.1 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4
5.3 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4
12.7 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4
9.3 MB
03 Solving for the optimal weights/018 Updating the weights using gradient descent - Code.mp4
7.2 MB
03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4
17.1 MB
04 Practical concerns/020 Interpreting the Weights.mp4
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