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[DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

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File Name
Size
01 Introduction and Review/001 Introduction and Outline.mp4
7.6 MB
01 Introduction and Review/002 Review of Important Concepts.mp4
6.0 MB
01 Introduction and Review/003 Where to get the Code and Data.mp4
3.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4
8.8 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4
8.6 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4
18 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4
7.7 MB
02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4
4.3 MB
02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4
5.4 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4
16 MB
03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4
5.8 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4
14 MB
03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4
7.3 MB
03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4
4.4 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4
10 MB
03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4
5.1 MB
04 Decision Trees/017 Decision Tree Basics.mp4
8.3 MB
04 Decision Trees/018 Information Entropy.mp4
7.0 MB
04 Decision Trees/019 Maximizing Information Gain.mp4
14 MB
04 Decision Trees/020 Choosing the Best Split.mp4
6.7 MB
04 Decision Trees/021 Decision Tree in Code.mp4
30 MB
05 Perceptrons/022 Perceptron Concepts.mp4
12 MB
05 Perceptrons/023 Perceptron in Code.mp4
14 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4
8.7 MB
05 Perceptrons/025 Perceptron Loss Function.mp4
6.9 MB
06 Practical Machine Learning/026 Hyperparameters and Cross-Validation.mp4
7.4 MB
06 Practical Machine Learning/027 Feature Extraction and Feature Selection.mp4
7.1 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4
8.7 MB
06 Practical Machine Learning/029 Multiclass Classification.mp4
5.7 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4
16 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4
11 MB
07 Building a Machine Learning Web Service/032 Building a Machine Learning Web Service Concepts.mp4
7.2 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4
12 MB
08 Conclusion/034 Whats Next Support Vector Machines and Ensemble Methods e.g. Random Forest.mp4
6.3 MB
09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4
44 MB
09 Appendix/036 How to Code by Yourself part 1.mp4
24 MB
09 Appendix/037 How to Code by Yourself part 2.mp4
15 MB
09 Appendix/038 Where to get Udemy coupons and FREE deep learning material.mp4
4.0 MB
[DesireCourse.Com].txt
754 B
[DesireCourse.Com].url
51 B