FreeTutorials Us data science supervised machine learning in python
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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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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