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收录时间:2022-01-09 文档个数:105 文档大小:1.1 GB 最近下载:2025-05-15 人气:2297 磁力链接

9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
9. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 15.1 MB
4. Decision Trees/4. Maximizing Information Gain.mp4 14.6 MB
5. Perceptrons/2. Perceptron in Code.mp4 14.4 MB

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

收录时间:2021-04-23 文档个数:40 文档大小:429.2 MB 最近下载:2025-05-15 人气:1000 磁力链接

09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

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9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [FamilyStrokes.com] - 2019.11.21 - Paisley Bennett - Supervised Stepsibling Sex (720p).mp4

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RARBG_DO_NOT_MIRROR.exe 99 Bytes
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familystrokes.19.11.21.paisley.bennett.supervised.stepsibling.sex.mp4 3.3 GB
Sample/familystrokes.19.11.21.paisley.bennett.supervised.stepsibling.sex-sample.mp4 99.2 MB
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