FreeTutorials Us data science logistic regression in python
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| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 424.52 MB |
FreeTutorials Us data science logistic regression in python
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Torrent File Content (41 files)
[FreeTutorials.Us] data-science-logistic-regression-in-python
01 Start Here
quizzes/001 Easy first quiz.html -
01 Start Here
quizzes/001 Easy first quiz.html -
2.43 KB
001 Introduction and Outline.mp4 -
7.52 MB
002 How to Succeed in this Course.mp4 -
8.78 MB
003 Review of the classification problem.mp4 -
2.97 MB
004 Introduction to the E-Commerce Course Project.mp4 -
14.79 MB
02 Basics What is linear classification Whats the relation to neural networks
005 Linear Classification.mp4 -
005 Linear Classification.mp4 -
7.54 MB
006 Biological inspiration - the neuron.mp4 -
4.17 MB
007 How do we calculate the output of a neuron logistic classifier - Theory.mp4 -
7.48 MB
008 How do we calculate the output of a neuron logistic classifier - Code.mp4 -
5.82 MB
009 E-Commerce Course Project Pre-Processing the Data.mp4 -
11.16 MB
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 -
011 A closed-form solution to the Bayes classifier.mp4 -
9.99 MB
012 What do all these symbols mean X Y N D L J PY1X etc..mp4 -
6.36 MB
013 The cross-entropy error function - Theory.mp4 -
4.49 MB
014 The cross-entropy error function - Code.mp4 -
9.1 MB
015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 -
5.27 MB
016 Maximizing the likelihood.mp4 -
12.67 MB
017 Updating the weights using gradient descent - Theory.mp4 -
9.35 MB
018 Updating the weights using gradient descent - Code.mp4 -
7.25 MB
019 E-Commerce Course Project Training the Logistic Model.mp4 -
17.06 MB
04 Practical concerns
020 Interpreting the Weights.mp4 -
020 Interpreting the Weights.mp4 -
6.34 MB
021 L2 Regularization - Theory.mp4 -
14.7 MB
022 L2 Regularization - Code.mp4 -
4.46 MB
023 L1 Regularization - Theory.mp4 -
4.42 MB
024 L1 Regularization - Code.mp4 -
12.01 MB
025 L1 vs L2 Regularization.mp4 -
4.8 MB
026 The donut problem.mp4 -
24.68 MB
027 The XOR problem.mp4 -
14.2 MB
05 Checkpoint and applications How to make sure you know your stuff
028 BONUS Sentiment Analysis.mp4 -
028 BONUS Sentiment Analysis.mp4 -
11.4 MB
029 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 -
4.02 MB
030 BONUS Exercises how to get good at this.mp4 -
5.26 MB
06 Project Facial Expression Recognition
031 Facial Expression Recognition Problem Description.mp4 -
031 Facial Expression Recognition Problem Description.mp4 -
21.43 MB
032 The class imbalance problem.mp4 -
10.11 MB
033 Utilities walkthrough.mp4 -
13.48 MB
034 Facial Expression Recognition in Code.mp4 -
24.04 MB
07 Appendix
035 Gradient Descent Tutorial.mp4 -
035 Gradient Descent Tutorial.mp4 -
8.43 MB
036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 -
43.92 MB
037 How to Code by Yourself part 1.mp4 -
24.53 MB
038 How to Code by Yourself part 2.mp4 -
14.8 MB
[FreeTutorials.Us].txt -
75 bytes
Freetutorials.Us.url -
119 bytes
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