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[FreeCourseLab.me] Udemy - Data Science Supervised Machine Learning in Python
magnet:?xt=urn:btih:ed39d71793465479b9e11ea594639523f8a1da24&dn=[FreeCourseLab.me] Udemy - Data Science Supervised Machine Learning in Python
磁力链接详情
Hash值:
ed39d71793465479b9e11ea594639523f8a1da24
点击数:
216
文件大小:
1.03 GB
文件数量:
52
创建日期:
2021-7-25 23:03
最后访问:
2024-12-26 17:58
访问标签:
FreeCourseLab
me
Udemy
-
Data
Science
Supervised
Machine
Learning
in
Python
文件列表详情
1. Introduction and Review/1. Introduction and Outline.mp4 7.63 MB
1. Introduction and Review/2. Review of Important Concepts.mp4 6.01 MB
1. Introduction and Review/3. Where to get the Code and Data.mp4 3.86 MB
1. Introduction and Review/4. How to Succeed in this Course.mp4 3.3 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 17.59 MB
2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.mp4 8.6 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 17.96 MB
2. K-Nearest Neighbor/4. When KNN Can Fail.mp4 7.71 MB
2. K-Nearest Neighbor/5. KNN for the XOR Problem.mp4 4.26 MB
2. K-Nearest Neighbor/6. KNN for the Donut Problem.mp4 5.42 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 35.8 MB
2. K-Nearest Neighbor/8. KNN Exercise.mp4 16.87 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 80.16 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 50.09 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 15.7 MB
3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.mp4 5.84 MB
3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 14.43 MB
3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.mp4 7.3 MB
3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.mp4 4.44 MB
3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).mp4 10.35 MB
3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.mp4 5.12 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 20.37 MB
4. Decision Trees/2. Decision Tree Basics.mp4 8.28 MB
4. Decision Trees/3. Information Entropy.mp4 6.99 MB
4. Decision Trees/4. Maximizing Information Gain.mp4 13.96 MB
4. Decision Trees/5. Choosing the Best Split.mp4 6.72 MB
4. Decision Trees/6. Decision Tree in Code.mp4 30.34 MB
5. Perceptrons/1. Perceptron Concepts.mp4 12.22 MB
5. Perceptrons/2. Perceptron in Code.mp4 13.77 MB
5. Perceptrons/3. Perceptron for MNIST and XOR.mp4 8.75 MB
5. Perceptrons/4. Perceptron Loss Function.mp4 6.29 MB
6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.mp4 7.43 MB
6. Practical Machine Learning/2. Feature Extraction and Feature Selection.mp4 7.1 MB
6. Practical Machine Learning/3. Comparison to Deep Learning.mp4 8.7 MB
6. Practical Machine Learning/4. Multiclass Classification.mp4 5.66 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 15.82 MB
6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.mp4 10.75 MB
7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.mp4 7.24 MB
7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.mp4 11.87 MB
8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).mp4 6.27 MB
9. Appendix FAQ/1. What is the Appendix.mp4 5.45 MB
9. Appendix FAQ/10. Python 2 vs Python 3.mp4 7.84 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 29.32 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 37.63 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.81 MB
9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186.38 MB
9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 43.92 MB
9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 24.53 MB
9. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 14.8 MB
9. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4 13 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
9. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.25 MB
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