Udemy - Data Science Supervised Machine Learning in Python (11.2024)

Creation Time	July 5, 2025, 4:19 p.m.
Last Access Time	July 5, 2025, 6:03 p.m.
File Size	2.1 GB
Keywords	11 2024 Python Science - Udemy Machine Supervised Learning in Data
Total Requests	8
Total Files	163
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9 - Setting Up Your Environment FAQ by Student Request/43 - Anaconda Environment Setup.mp4 309.0 MB
9 - Setting Up Your Environment FAQ by Student Request/44 - How to install Numpy Scipy Matplotlib and SciKit Learn.mp4 192.0 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/52 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 136.3 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/51 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 134.9 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Proof that using Jupyter Notebook is the same as not using it.mp4 108.5 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/45 - How to Code by Yourself part 1.mp4 93.6 MB
1 - Introduction and Review/3 - Where to get the Code and Data.mp4 61.2 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 60.2 MB
4 - Decision Trees/28 - Decision Tree in Code.mp4 52.5 MB
3 - Naive Bayes and Bayes Classifiers/14 - Bayes Classifier Intuition Continuous.mp4 50.7 MB
3 - Naive Bayes and Bayes Classifiers/16 - Naive Bayes.mp4 47.4 MB
12 - Appendix FAQ Finale/54 - BONUS.mp4 43.1 MB
1 - Introduction and Review/1 - Introduction and Outline.mp4 38.9 MB
5 - Perceptrons/31 - Perceptron for MNIST and XOR.mp4 38.1 MB
5 - Perceptrons/29 - Perceptron Concepts.mp4 37.6 MB
3 - Naive Bayes and Bayes Classifiers/19 - NonNaive Bayes.mp4 35.3 MB
6 - Practical Machine Learning/37 - SciKit Learn.mp4 33.5 MB
3 - Naive Bayes and Bayes Classifiers/15 - Bayes Classifier Intuition Discrete.mp4 31.4 MB
2 - KNearest Neighbor/7 - KNN in Code with MNIST.mp4 30.4 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/46 - How to Code by Yourself part 2.mp4 29.3 MB
4 - Decision Trees/26 - Maximizing Information Gain.mp4 28.0 MB
2 - KNearest Neighbor/13 - Suggestion Box.mp4 27.2 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - How to Succeed in this Course Long Version.mp4 24.9 MB
4 - Decision Trees/25 - Information Entropy.mp4 24.2 MB
7 - Building a Machine Learning Web Service/39 - Building a Machine Learning Web Service Concepts.mp4 24.0 MB
2 - KNearest Neighbor/11 - Effect of K.mp4 23.8 MB
7 - Building a Machine Learning Web Service/40 - Building a Machine Learning Web Service Code.mp4 22.5 MB
3 - Naive Bayes and Bayes Classifiers/21 - Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 22.3 MB
3 - Naive Bayes and Bayes Classifiers/18 - Naive Bayes in Code with MNIST.mp4 22.3 MB
1 - Introduction and Review/4 - Review of Important Concepts.mp4 20.3 MB
5 - Perceptrons/30 - Perceptron in Code.mp4 19.9 MB
6 - Practical Machine Learning/38 - Regression with SciKit Learn is Easy.mp4 17.8 MB
6 - Practical Machine Learning/35 - Comparison to Deep Learning.mp4 16.9 MB
1 - Introduction and Review/2 - How to Succeed in this Course.mp4 16.2 MB
8 - Conclusion/41 - Whats Next Support Vector Machines and Ensemble Methods eg Random Forest.mp4 14.6 MB
2 - KNearest Neighbor/10 - KNN for the Donut Problem.mp4 14.6 MB
4 - Decision Trees/27 - Choosing the Best Split.mp4 14.1 MB
2 - KNearest Neighbor/6 - KNearest Neighbor Concepts.mp4 13.9 MB
5 - Perceptrons/32 - Perceptron Loss Function.mp4 13.3 MB
6 - Practical Machine Learning/34 - Feature Extraction and Feature Selection.mp4 13.3 MB
9 - Setting Up Your Environment FAQ by Student Request/42 - PreInstallation Check.mp4 13.1 MB
3 - Naive Bayes and Bayes Classifiers/17 - Naive Bayes Handwritten Example.mp4 12.6 MB
6 - Practical Machine Learning/33 - Hyperparameters and CrossValidation.mp4 12.1 MB
4 - Decision Trees/24 - Decision Tree Basics.mp4 12.0 MB
2 - KNearest Neighbor/8 - When KNN Can Fail.mp4 11.1 MB
4 - Decision Trees/23 - Decision Tree Intuition.mp4 10.7 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Python 2 vs Python 3.mp4 10.4 MB
3 - Naive Bayes and Bayes Classifiers/22 - Generative vs Discriminative Models.mp4 9.6 MB
2 - KNearest Neighbor/12 - KNN Exercise.mp4 9.0 MB
3 - Naive Bayes and Bayes Classifiers/20 - Bayes Classifier in Code with MNIST.mp4 8.9 MB
12 - Appendix FAQ Finale/53 - What is the Appendix.mp4 8.9 MB
6 - Practical Machine Learning/36 - Multiclass Classification.mp4 8.9 MB
2 - KNearest Neighbor/5 - KNearest Neighbor Intuition.mp4 8.9 MB
2 - KNearest Neighbor/9 - KNN for the XOR Problem.mp4 6.8 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced Spanish.vtt 30.7 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.vtt 28.7 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/52 - Machine Learning and AI Prerequisite Roadmap pt 2 Spanish.vtt 23.0 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/14 - Bayes Classifier Intuition Continuous Spanish.vtt 22.5 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/45 - How to Code by Yourself part 1 Spanish.vtt 21.9 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/52 - Machine Learning and AI Prerequisite Roadmap pt 2.vtt 20.9 KB
3 - Naive Bayes and Bayes Classifiers/14 - Bayes Classifier Intuition Continuous.vtt 20.6 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/45 - How to Code by Yourself part 1.vtt 20.4 KB
9 - Setting Up Your Environment FAQ by Student Request/subtitles/43 - Anaconda Environment Setup Spanish.vtt 19.5 KB
9 - Setting Up Your Environment FAQ by Student Request/43 - Anaconda Environment Setup.vtt 18.0 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/51 - Machine Learning and AI Prerequisite Roadmap pt 1 Spanish.vtt 15.7 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/51 - Machine Learning and AI Prerequisite Roadmap pt 1.vtt 14.5 KB
1 - Introduction and Review/subtitles/3 - Where to get the Code and Data Spanish.vtt 14.5 KB
9 - Setting Up Your Environment FAQ by Student Request/subtitles/44 - How to install Numpy Scipy Matplotlib and SciKit Learn Spanish.vtt 14.0 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/subtitles/49 - How to Succeed in this Course Long Version Spanish.vtt 13.9 KB
1 - Introduction and Review/3 - Where to get the Code and Data.vtt 13.6 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/47 - Proof that using Jupyter Notebook is the same as not using it Spanish.vtt 13.6 KB
1 - Introduction and Review/subtitles/1 - Introduction and Outline Spanish.vtt 13.6 KB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - How to Succeed in this Course Long Version.vtt 13.3 KB
9 - Setting Up Your Environment FAQ by Student Request/44 - How to install Numpy Scipy Matplotlib and SciKit Learn.vtt 12.9 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/15 - Bayes Classifier Intuition Discrete Spanish.vtt 12.8 KB
1 - Introduction and Review/1 - Introduction and Outline.vtt 12.7 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/46 - How to Code by Yourself part 2 Spanish.vtt 12.7 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Proof that using Jupyter Notebook is the same as not using it.vtt 12.7 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/46 - How to Code by Yourself part 2.vtt 12.0 KB
3 - Naive Bayes and Bayes Classifiers/15 - Bayes Classifier Intuition Discrete.vtt 11.7 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/16 - Naive Bayes Spanish.vtt 11.3 KB
4 - Decision Trees/subtitles/28 - Decision Tree in Code Spanish.vtt 11.2 KB
6 - Practical Machine Learning/subtitles/37 - SciKit Learn Spanish.vtt 10.9 KB
3 - Naive Bayes and Bayes Classifiers/16 - Naive Bayes.vtt 10.4 KB
6 - Practical Machine Learning/37 - SciKit Learn.vtt 10.1 KB
4 - Decision Trees/28 - Decision Tree in Code.vtt 10.0 KB
4 - Decision Trees/subtitles/26 - Maximizing Information Gain Spanish.vtt 9.6 KB
4 - Decision Trees/26 - Maximizing Information Gain.vtt 8.7 KB
5 - Perceptrons/subtitles/29 - Perceptron Concepts Spanish.vtt 8.4 KB
5 - Perceptrons/29 - Perceptron Concepts.vtt 7.9 KB
12 - Appendix FAQ Finale/subtitles/54 - BONUS Spanish.vtt 7.9 KB
2 - KNearest Neighbor/subtitles/7 - KNN in Code with MNIST Spanish.vtt 7.4 KB
7 - Building a Machine Learning Web Service/subtitles/40 - Building a Machine Learning Web Service Code Spanish.vtt 7.3 KB
12 - Appendix FAQ Finale/54 - BONUS.vtt 7.3 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/21 - Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA Spanish.vtt 7.2 KB
2 - KNearest Neighbor/subtitles/11 - Effect of K Spanish.vtt 7.0 KB
7 - Building a Machine Learning Web Service/40 - Building a Machine Learning Web Service Code.vtt 6.7 KB
3 - Naive Bayes and Bayes Classifiers/21 - Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.vtt 6.7 KB
2 - KNearest Neighbor/7 - KNN in Code with MNIST.vtt 6.7 KB
2 - KNearest Neighbor/11 - Effect of K.vtt 6.4 KB
6 - Practical Machine Learning/subtitles/35 - Comparison to Deep Learning Spanish.vtt 6.3 KB
4 - Decision Trees/subtitles/24 - Decision Tree Basics Spanish.vtt 6.2 KB
2 - KNearest Neighbor/subtitles/6 - KNearest Neighbor Concepts Spanish.vtt 6.2 KB
9 - Setting Up Your Environment FAQ by Student Request/subtitles/42 - PreInstallation Check Spanish.vtt 6.0 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/subtitles/48 - Python 2 vs Python 3 Spanish.vtt 6.0 KB
6 - Practical Machine Learning/subtitles/38 - Regression with SciKit Learn is Easy Spanish.vtt 6.0 KB
9 - Setting Up Your Environment FAQ by Student Request/42 - PreInstallation Check.vtt 5.9 KB
2 - KNearest Neighbor/6 - KNearest Neighbor Concepts.vtt 5.7 KB
4 - Decision Trees/24 - Decision Tree Basics.vtt 5.6 KB
4 - Decision Trees/subtitles/23 - Decision Tree Intuition Spanish.vtt 5.6 KB
6 - Practical Machine Learning/35 - Comparison to Deep Learning.vtt 5.5 KB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Python 2 vs Python 3.vtt 5.5 KB
6 - Practical Machine Learning/38 - Regression with SciKit Learn is Easy.vtt 5.5 KB
2 - KNearest Neighbor/subtitles/12 - KNN Exercise Spanish.vtt 5.3 KB
7 - Building a Machine Learning Web Service/subtitles/39 - Building a Machine Learning Web Service Concepts Spanish.vtt 5.2 KB
6 - Practical Machine Learning/subtitles/33 - Hyperparameters and CrossValidation Spanish.vtt 5.1 KB
4 - Decision Trees/23 - Decision Tree Intuition.vtt 5.0 KB
6 - Practical Machine Learning/subtitles/34 - Feature Extraction and Feature Selection Spanish.vtt 5.0 KB
2 - KNearest Neighbor/12 - KNN Exercise.vtt 5.0 KB
7 - Building a Machine Learning Web Service/39 - Building a Machine Learning Web Service Concepts.vtt 4.9 KB
5 - Perceptrons/subtitles/32 - Perceptron Loss Function Spanish.vtt 4.9 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/18 - Naive Bayes in Code with MNIST Spanish.vtt 4.8 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/19 - NonNaive Bayes Spanish.vtt 4.8 KB
5 - Perceptrons/subtitles/30 - Perceptron in Code Spanish.vtt 4.7 KB
4 - Decision Trees/subtitles/27 - Choosing the Best Split Spanish.vtt 4.7 KB
2 - KNearest Neighbor/subtitles/5 - KNearest Neighbor Intuition Spanish.vtt 4.7 KB
6 - Practical Machine Learning/33 - Hyperparameters and CrossValidation.vtt 4.7 KB
2 - KNearest Neighbor/subtitles/8 - When KNN Can Fail Spanish.vtt 4.5 KB
2 - KNearest Neighbor/5 - KNearest Neighbor Intuition.vtt 4.5 KB
2 - KNearest Neighbor/subtitles/13 - Suggestion Box Spanish.vtt 4.5 KB
5 - Perceptrons/32 - Perceptron Loss Function.vtt 4.5 KB
3 - Naive Bayes and Bayes Classifiers/19 - NonNaive Bayes.vtt 4.4 KB
1 - Introduction and Review/subtitles/4 - Review of Important Concepts Spanish.vtt 4.4 KB
6 - Practical Machine Learning/34 - Feature Extraction and Feature Selection.vtt 4.4 KB
4 - Decision Trees/27 - Choosing the Best Split.vtt 4.3 KB
3 - Naive Bayes and Bayes Classifiers/18 - Naive Bayes in Code with MNIST.vtt 4.3 KB
1 - Introduction and Review/subtitles/2 - How to Succeed in this Course Spanish.vtt 4.3 KB
2 - KNearest Neighbor/13 - Suggestion Box.vtt 4.3 KB
5 - Perceptrons/30 - Perceptron in Code.vtt 4.2 KB
4 - Decision Trees/subtitles/25 - Information Entropy Spanish.vtt 4.2 KB
2 - KNearest Neighbor/8 - When KNN Can Fail.vtt 4.1 KB
1 - Introduction and Review/2 - How to Succeed in this Course.vtt 4.0 KB
1 - Introduction and Review/4 - Review of Important Concepts.vtt 4.0 KB
6 - Practical Machine Learning/subtitles/36 - Multiclass Classification Spanish.vtt 3.9 KB
4 - Decision Trees/25 - Information Entropy.vtt 3.9 KB
6 - Practical Machine Learning/36 - Multiclass Classification.vtt 3.7 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/17 - Naive Bayes Handwritten Example Spanish.vtt 3.6 KB
12 - Appendix FAQ Finale/subtitles/53 - What is the Appendix Spanish.vtt 3.6 KB
8 - Conclusion/subtitles/41 - Whats Next Support Vector Machines and Ensemble Methods eg Random Forest Spanish.vtt 3.6 KB
12 - Appendix FAQ Finale/53 - What is the Appendix.vtt 3.4 KB
3 - Naive Bayes and Bayes Classifiers/17 - Naive Bayes Handwritten Example.vtt 3.3 KB
8 - Conclusion/41 - Whats Next Support Vector Machines and Ensemble Methods eg Random Forest.vtt 3.2 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/22 - Generative vs Discriminative Models Spanish.vtt 3.1 KB
3 - Naive Bayes and Bayes Classifiers/22 - Generative vs Discriminative Models.vtt 2.9 KB
2 - KNearest Neighbor/subtitles/10 - KNN for the Donut Problem Spanish.vtt 2.5 KB
2 - KNearest Neighbor/10 - KNN for the Donut Problem.vtt 2.3 KB
5 - Perceptrons/subtitles/31 - Perceptron for MNIST and XOR Spanish.vtt 2.2 KB
2 - KNearest Neighbor/subtitles/9 - KNN for the XOR Problem Spanish.vtt 2.2 KB
5 - Perceptrons/31 - Perceptron for MNIST and XOR.vtt 2.0 KB
2 - KNearest Neighbor/9 - KNN for the XOR Problem.vtt 2.0 KB
3 - Naive Bayes and Bayes Classifiers/subtitles/20 - Bayes Classifier in Code with MNIST Spanish.vtt 1.6 KB
3 - Naive Bayes and Bayes Classifiers/20 - Bayes Classifier in Code with MNIST.vtt 1.5 KB
1 - Introduction and Review/3 - Github Link.txt 59 bytes

Udemy - Data Science Supervised Machine Learning in Python (11.2024)

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