| 001 Introduction and Outline.mp4 | 7.6 MB | ||
| 002 Review of Important Concepts.mp4 | 6 MB | ||
| 003 Where to get the Code and Data.mp4 | 3.9 MB | ||
| 004 How to Succeed in this Course.mp4 | 8.8 MB | ||
| 005 K-Nearest Neighbor Concepts.mp4 | 8.6 MB | ||
| 006 KNN in Code with MNIST.mp4 | 18 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 | ||
| 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 | ||
| 017 Decision Tree Basics.mp4 | 8.3 MB | ||
| 018 Information Entropy.mp4 | 7 MB | ||
| 019 Maximizing Information Gain.mp4 | 14 MB | ||
| 020 Choosing the Best Split.mp4 | 6.7 MB | ||
| 021 Decision Tree in Code.mp4 | 30.3 MB | ||
| 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 | ||
| 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 | ||
| 032 Building a Machine Learning Web Service Concepts.mp4 | 7.2 MB | ||
| 033 Building a Machine Learning Web Service Code.mp4 | 11.9 MB | ||
| 034 Whats Next Support Vector Machines and Ensemble Methods e.g. Random Forest.mp4 | 6.3 MB | ||
| 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 MB | ||
| [DesireCourse.Com].txt | 716.8 B | ||
| [DesireCourse.Com].url | 0 B | ||
| ▲ 40 total files | |||
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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