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【影视】 [ CourseBoat.com ] Udemy - Complete Supervised Machine Learning With Python

收录时间:2024-02-26 文档个数:138 文档大小:2.8 GB 最近下载:2025-05-16 人气:2496 磁力链接

~Get Your Files Here !/8. Linear Regression With Python/5. Linear Regression With Python.mp4 149.7 MB
~Get Your Files Here !/9. Logistic Regression With Python/5. Logistic Regression With Python.mp4 110.0 MB
~Get Your Files Here !/14. Discriminant Analysis With A Case Study/1. Discriminant Analysis - Lecture 1.mp4 106.7 MB
~Get Your Files Here !/17. Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.8 MB
~Get Your Files Here !/15. Support Vector Machines With Python/2. Support Vector Machines - Lecture 2.mp4 74.1 MB
~Get Your Files Here !/5. The NumPy Library/2. Working With Arrays Using NumPy Library.mp4 69.9 MB
~Get Your Files Here !/17. Deep Learning/5. ANN With Back Propagation.mp4 68.3 MB
~Get Your Files Here !/17. Deep Learning/4. Perceptron With Python.mp4 65.4 MB
~Get Your Files Here !/12. Naïve Bayes Classifier And KNN/1. Understanding Naïve Bayes Classifier.mp4 65.4 MB
~Get Your Files Here !/17. Deep Learning/1. Introduction To Deep Learning.mp4 65.1 MB
~Get Your Files Here !/17. Deep Learning/3. Architecture And Training Of ANN.mp4 64.7 MB
~Get Your Files Here !/17. Deep Learning/6. Back Propagation With Python.mp4 64.7 MB
~Get Your Files Here !/15. Support Vector Machines With Python/4. SVM With Python.mp4 63.2 MB
~Get Your Files Here !/14. Discriminant Analysis With A Case Study/2. Discriminant Analysis - Lecture 2.mp4 59.9 MB
~Get Your Files Here !/7. Data Visualization With Python/3. Data Analysis And Visualization.mp4 52.3 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/7. Decision Tree Hands-on With Python - Lecture 2.mp4 51.2 MB
~Get Your Files Here !/15. Support Vector Machines With Python/3. Support Vector Machines - Lecture 3.mp4 50.9 MB
~Get Your Files Here !/13. Random Forest With Python/1. Ensemble Classifiers- Random Forest - Lecture 1.mp4 49.1 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/1. Fundamentals Of Decision Tree - Lecture 1.mp4 48.8 MB
~Get Your Files Here !/13. Random Forest With Python/3. Random Forest Classifier In Python - Lecture 1.mp4 48.7 MB

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【影视】 GetFreeCourses.Co-Udemy-The Supervised Machine Learning Course

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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB

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【影视】 [FreeTutorials.Us] data-science-supervised-machine-learning-in-python

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01 Introduction and Review/001 Introduction and Outline.mp4 8.0 MB
01 Introduction and Review/002 Review of Important Concepts.mp4 6.3 MB
01 Introduction and Review/003 Where to get the Code and Data.mp4 4.0 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB
02 K-Nearest Neighbor/008 KNN for the XOR Problem.mp4 4.5 MB
02 K-Nearest Neighbor/009 KNN for the Donut Problem.mp4 5.7 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4 6.1 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4 7.7 MB
03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4 4.7 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
03 Naive Bayes and Bayes Classifiers/016 Generative vs Discriminative Models.mp4 5.4 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
04 Decision Trees/018 Information Entropy.mp4 7.3 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
04 Decision Trees/020 Choosing the Best Split.mp4 7.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - The Complete Supervised Machine Learning Models in Python.zip

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

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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】 [FreeCourseSite.com] Udemy - Data Science Supervised Machine Learning in Python

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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
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