FreeTutorials Us data science supervised machine learning in python


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Torrent File Content (40 files)


[FreeTutorials.Us] data-science-supervised-machine-learning-in-python
    01 Introduction and Review
          001 Introduction and Outline.mp4 -
7.62 MB

          002 Review of Important Concepts.mp4 -
6.01 MB

          003 Where to get the Code and Data.mp4 -
3.86 MB

          004 How to Succeed in this Course.mp4 -
8.78 MB

    02 K-Nearest Neighbor
          005 K-Nearest Neighbor Concepts.mp4 -
8.6 MB

          006 KNN in Code with MNIST.mp4 -
17.96 MB

          007 When KNN Can Fail.mp4 -
7.7 MB

          008 KNN for the XOR Problem.mp4 -
4.26 MB

          009 KNN for the Donut Problem.mp4 -
5.42 MB

    03 Naive Bayes and Bayes Classifiers
          010 Naive Bayes.mp4 -
15.69 MB

          011 Naive Bayes Handwritten Example.mp4 -
5.83 MB

          012 Naive Bayes in Code with MNIST.mp4 -
14.43 MB

          013 Non-Naive Bayes.mp4 -
7.3 MB

          014 Bayes Classifier in Code with MNIST.mp4 -
4.44 MB

          015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 -
10.35 MB

          016 Generative vs Discriminative Models.mp4 -
5.12 MB

    04 Decision Trees
          017 Decision Tree Basics.mp4 -
8.28 MB

          018 Information Entropy.mp4 -
6.99 MB

          019 Maximizing Information Gain.mp4 -
13.96 MB

          020 Choosing the Best Split.mp4 -
6.72 MB

          021 Decision Tree in Code.mp4 -
30.33 MB

    05 Perceptrons
          022 Perceptron Concepts.mp4 -
12.22 MB

          023 Perceptron in Code.mp4 -
13.76 MB

          024 Perceptron for MNIST and XOR.mp4 -
8.74 MB

          025 Perceptron Loss Function.mp4 -
6.87 MB

    06 Practical Machine Learning
          026 Hyperparameters and Cross-Validation.mp4 -
7.43 MB

          027 Feature Extraction and Feature Selection.mp4 -
7.09 MB

          028 Comparison to Deep Learning.mp4 -
8.7 MB

          029 Multiclass Classification.mp4 -
5.65 MB

          030 Sci-Kit Learn.mp4 -
15.81 MB

          031 Regression with Sci-Kit Learn is Easy.mp4 -
10.75 MB

    07 Building a Machine Learning Web Service
          032 Building a Machine Learning Web Service Concepts.mp4 -
7.24 MB

          033 Building a Machine Learning Web Service Code.mp4 -
11.87 MB

    08 Conclusion
          034 Whats Next Support Vector Machines and Ensemble Methods e.g. Random Forest.mp4 -
6.27 MB

    09 Appendix
          035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 -
43.92 MB

          036 How to Code by Yourself part 1.mp4 -
24.53 MB

          037 How to Code by Yourself part 2.mp4 -
14.8 MB

          038 Where to get Udemy coupons and FREE deep learning material.mp4 -
4.02 MB

     [FreeTutorials.Us].txt -
75 bytes

     Freetutorials.Us.url -
119 bytes



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