Udemy - Data Science: Supervised Machine Learning in Python

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[DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python 01 Introduction and Review
  • 001 Introduction and Outline.mp4 (7.6 MB)
  • 002 Review of Important Concepts.mp4 (6.0 MB)
  • 003 Where to get the Code and Data.mp4 (3.9 MB)
  • 004 How to Succeed in this Course.mp4 (8.8 MB)
02 K-Nearest Neighbor
  • 005 K-Nearest Neighbor Concepts.mp4 (8.6 MB)
  • 006 KNN in Code with MNIST.mp4 (18.0 MB)
  • 007 When KNN Can Fail.mp4 (7.7 MB)
  • 008 KNN for the XOR Problem.mp4 (4.3 MB)
  • 009 KNN for the Donut Problem.mp4 (5.4 MB)
03 Naive Bayes and Bayes Classifiers
  • 010 Naive Bayes.mp4 (15.7 MB)
  • 011 Naive Bayes Handwritten Example.mp4 (5.8 MB)
  • 012 Naive Bayes in Code with MNIST.mp4 (14.4 MB)
  • 013 Non-Naive Bayes.mp4 (7.3 MB)
  • 014 Bayes Classifier in Code with MNIST.mp4 (4.4 MB)
  • 015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 (10.3 MB)
  • 016 Generative vs Discriminative Models.mp4 (5.1 MB)
04 Decision Trees
  • 017 Decision Tree Basics.mp4 (8.3 MB)
  • 018 Information Entropy.mp4 (7.0 MB)
  • 019 Maximizing Information Gain.mp4 (14.0 MB)
  • 020 Choosing the Best Split.mp4 (6.7 MB)
  • 021 Decision Tree in Code.mp4 (30.3 MB)
05 Perceptrons
  • 022 Perceptron Concepts.mp4 (12.2 MB)
  • 023 Perceptron in Code.mp4 (13.8 MB)
  • 024 Perceptron for MNIST and XOR.mp4 (8.7 MB)
  • 025 Perceptron Loss Function.mp4 (6.9 MB)
06 Practical Machine Learning
  • 026 Hyperparameters and Cross-Validation.mp4 (7.4 MB)
  • 027 Feature Extraction and Feature Selection.mp4 (7.1 MB)
  • 028 Comparison to Deep Learning.mp4 (8.7 MB)
  • 029 Multiclass Classification.mp4 (5.7 MB)
  • 030 Sci-Kit Learn.mp4 (15.8 MB)
  • 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)
  • 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)
  • 036 How to Code by Yourself part 1.mp4 (24.5 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 (4.0 MB)
  • [DesireCourse.Com].txt (0.7 KB)
  • [DesireCourse.Com].url (0.0 KB)

Description

Data Science: Supervised Machine Learning in Python

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Sci-Kit Learn

For More Courses Visit: https://desirecourse.com



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Udemy - Data Science: Supervised Machine Learning in Python


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409.3 MB
seeders:12
leechers:4
Udemy - Data Science: Supervised Machine Learning in Python


Torrent hash: B4133B518FB1DAF9FDD1EEDFC8FD67FF4CA4963D