FreeTutorials Us data science logistic regression in python


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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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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