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

• [DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python
• 01 Introduction and Review/001 Introduction and Outline.mp4 7.6 MB
• 01 Introduction and Review/002 Review of Important Concepts.mp4 6 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 15.7 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 14.4 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 10.3 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 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 30.3 MB
• 05 Perceptrons/022 Perceptron Concepts.mp4 12.2 MB
• 05 Perceptrons/023 Perceptron in Code.mp4 13.8 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 15.8 MB
• 06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 10.7 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 11.9 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 43.9 MB
• 09 Appendix/036 How to Code by Yourself part 1.mp4 24.5 MB
• 09 Appendix/037 How to Code by Yourself part 2.mp4 14.8 MB
• 09 Appendix/038 Where to get Udemy coupons and FREE deep learning material.mp4 4 MB
• [DesireCourse.Com].txt 754 B

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