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[FreeTutorials.Us] data-science-logistic-regression-in-python
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[FreeTutorials.Us] data-science-logistic-regression-in-python
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文件列表
01 Start Here/quizzes/001 Easy first quiz.html
2.5 kB
01 Start Here/001 Introduction and Outline.mp4
7.9 MB
01 Start Here/002 How to Succeed in this Course.mp4
9.2 MB
01 Start Here/003 Review of the classification problem.mp4
3.1 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4
15.5 MB
02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4
7.9 MB
02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4
4.4 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
7.8 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
6.1 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4
11.7 MB
02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4
6.0 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4
10.5 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4
6.7 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4
4.7 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4
9.5 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4
5.5 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4
13.3 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4
9.8 MB
03 Solving for the optimal weights/018 Updating the weights using gradient descent - Code.mp4
7.6 MB
03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4
17.9 MB
04 Practical concerns/020 Interpreting the Weights.mp4
6.6 MB
04 Practical concerns/021 L2 Regularization - Theory.mp4
15.4 MB
04 Practical concerns/022 L2 Regularization - Code.mp4
4.7 MB
04 Practical concerns/023 L1 Regularization - Theory.mp4
4.6 MB
04 Practical concerns/024 L1 Regularization - Code.mp4
12.6 MB
04 Practical concerns/025 L1 vs L2 Regularization.mp4
5.0 MB
04 Practical concerns/026 The donut problem.mp4
25.9 MB
04 Practical concerns/027 The XOR problem.mp4
14.9 MB
05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4
12.0 MB
05 Checkpoint and applications How to make sure you know your stuff/029 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
4.2 MB
05 Checkpoint and applications How to make sure you know your stuff/030 BONUS Exercises how to get good at this.mp4
5.5 MB
06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4
22.5 MB
06 Project Facial Expression Recognition/032 The class imbalance problem.mp4
10.6 MB
06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4
14.1 MB
06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4
25.2 MB
07 Appendix/035 Gradient Descent Tutorial.mp4
8.8 MB
07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
46.0 MB
07 Appendix/037 How to Code by Yourself part 1.mp4
25.7 MB
07 Appendix/038 How to Code by Yourself part 2.mp4
15.5 MB
[FreeTutorials.Us].txt
75 Bytes
Freetutorials.Us.url
119 Bytes
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