[GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

Creation Time	May 16, 2024, 12:57 a.m.
Last Access Time	Nov. 28, 2024, 5:41 a.m.
File Size	5.7 GB
Keywords	Classification Python - Udemy Machine GigaCourse Learning in Bootcamp Com
Total Requests	16
Total Files	174
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4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 160.8 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 156.4 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 147.9 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 137.6 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 136.5 MB
1. Introduction/2.1 ML Classification Package.zip 131.8 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 127.8 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 123.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 122.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 120.8 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 119.7 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 119.1 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 117.9 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 111.1 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 109.4 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 107.2 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 98.0 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 95.6 MB
1. Introduction/5. Course Overview.mp4 94.9 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 94.6 MB
5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.mp4 94.4 MB
4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.mp4 93.6 MB
4. Logistic Regression/2. Logistic Regression Intuition.mp4 91.9 MB
7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.mp4 91.8 MB
8. Naive Bayes Classifiers/10. Project #2 - Overview.mp4 91.1 MB
8. Naive Bayes Classifiers/4. Project #1 - Part #1.mp4 87.6 MB
4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.mp4 85.8 MB
8. Naive Bayes Classifiers/5. Project #1 - Part #2.mp4 84.3 MB
8. Naive Bayes Classifiers/14. Project #2 - Part #4.mp4 83.0 MB
7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.mp4 78.0 MB
4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.mp4 77.0 MB
7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.mp4 73.2 MB
5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.mp4 72.7 MB
7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.mp4 70.7 MB
8. Naive Bayes Classifiers/7. Project #1 - Part #4.mp4 68.7 MB
4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.mp4 65.8 MB
7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.mp4 64.4 MB
4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.mp4 64.1 MB
8. Naive Bayes Classifiers/12. Project #2 - Part #2.mp4 62.3 MB
7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.mp4 62.0 MB
4. Logistic Regression/11. Logistic Regression - Project #2 Overview.mp4 61.7 MB
7. Decision Trees and Random Forest/3. Random Forest - Intuition.mp4 61.2 MB
4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.mp4 60.8 MB
6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.mp4 59.9 MB
6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.mp4 59.0 MB
8. Naive Bayes Classifiers/9. Project #1 - Part #6.mp4 59.0 MB
6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.mp4 58.4 MB
7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.mp4 58.1 MB
6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.mp4 58.0 MB
5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.mp4 56.9 MB
6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.mp4 56.8 MB
6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.mp4 55.3 MB
5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.mp4 55.0 MB
4. Logistic Regression/3. Confusion Matrix Overview.mp4 53.8 MB
6. K-Nearest Neighbors/7. KNN - Project #2 Overview.mp4 53.1 MB
5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.mp4 52.7 MB
1. Introduction/1. Introduction and Welcome Message.mp4 52.2 MB
4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.mp4 52.0 MB
7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.mp4 51.8 MB
7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.mp4 51.4 MB
7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.mp4 51.0 MB
4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.mp4 50.2 MB
7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.mp4 48.2 MB
5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.mp4 48.1 MB
5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.mp4 47.3 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.mp4 44.8 MB
4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.mp4 43.8 MB
5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.mp4 41.1 MB
8. Naive Bayes Classifiers/8. Project #1 - Part #5.mp4 40.3 MB
8. Naive Bayes Classifiers/13. Project #2 - Part #3.mp4 38.8 MB
6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.mp4 37.2 MB
4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.mp4 37.0 MB
5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.mp4 35.7 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.mp4 32.5 MB
7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.mp4 30.3 MB
4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.mp4 28.9 MB
5. Support Vector Machines/10. Project #2 Overview.mp4 28.8 MB
8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.mp4 28.6 MB
1. Introduction/4. Updates on Udemy Reviews.mp4 23.1 MB
4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.srt 33.9 KB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.srt 32.8 KB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.srt 28.6 KB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.srt 27.0 KB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.srt 26.2 KB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.srt 25.6 KB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.srt 25.3 KB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.srt 23.8 KB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.srt 23.3 KB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.srt 23.1 KB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.srt 22.8 KB
4. Logistic Regression/2. Logistic Regression Intuition.srt 22.8 KB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.srt 21.7 KB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.srt 21.6 KB
4. Logistic Regression/3. Confusion Matrix Overview.srt 20.2 KB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.srt 18.9 KB
1. Introduction/5. Course Overview.srt 18.6 KB
5. Support Vector Machines/2. Support Vector Machines - Intuition.srt 18.6 KB
4. Logistic Regression/15. Logistic Regression - Project #2 - Part #3.srt 18.3 KB
7. Decision Trees and Random Forest/8. Decision Trees & Random Forest - Project #1 - Part #5.srt 18.3 KB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.srt 17.7 KB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.srt 17.0 KB
5. Support Vector Machines/8. Support Vector Machines - Project #1 - Part #6.srt 16.8 KB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.srt 16.2 KB
4. Logistic Regression/13. Logistic Regression - Project #2 - Part #2.srt 15.9 KB
7. Decision Trees and Random Forest/14. Decision Trees & Random Forest - Project #2 - Part #2.srt 15.9 KB
7. Decision Trees and Random Forest/6. Decision Trees & Random Forest - Project #1 - Part #3.srt 15.8 KB
8. Naive Bayes Classifiers/5. Project #1 - Part #2.srt 15.4 KB
4. Logistic Regression/16. Logistic Regression - Project #2 - Part #4.srt 15.0 KB
7. Decision Trees and Random Forest/5. Decision Trees & Random Forest - Project #1 - Part #2.srt 14.9 KB
5. Support Vector Machines/6. Support Vector Machines - Project #1 - Part #4.srt 14.9 KB
8. Naive Bayes Classifiers/4. Project #1 - Part #1.srt 14.7 KB
8. Naive Bayes Classifiers/7. Project #1 - Part #4.srt 13.9 KB
7. Decision Trees and Random Forest/11. Decision Trees & Random Forest - Project #1 - Part #8.srt 13.7 KB
4. Logistic Regression/8. Logistic Regression - Project #1 - Part #5.srt 13.6 KB
8. Naive Bayes Classifiers/10. Project #2 - Overview.srt 13.6 KB
6. K-Nearest Neighbors/4. KNN - Project #1 - Part #2.srt 13.0 KB
4. Logistic Regression/10. Logistic Regression - Project #1 - Part #7.srt 12.9 KB
7. Decision Trees and Random Forest/7. Decision Trees & Random Forest - Project #1 - Part #4.srt 12.7 KB
6. K-Nearest Neighbors/5. KNN - Project #1 - Part #3.srt 12.6 KB
8. Naive Bayes Classifiers/14. Project #2 - Part #4.srt 12.6 KB
7. Decision Trees and Random Forest/15. Decision Trees & Random Forest - Project #3 - Part #3.srt 12.4 KB
7. Decision Trees and Random Forest/3. Random Forest - Intuition.srt 11.8 KB
5. Support Vector Machines/12. Support Vector Machines - Project #2 - Part #2.srt 11.8 KB
4. Logistic Regression/11. Logistic Regression - Project #2 Overview.srt 11.2 KB
6. K-Nearest Neighbors/10. KNN - Project #2 - Part #3.srt 11.2 KB
6. K-Nearest Neighbors/9. KNN - Project #2 - Part #2.srt 11.2 KB
6. K-Nearest Neighbors/6. KNN - Project #1 - Part #4.srt 11.0 KB
8. Naive Bayes Classifiers/9. Project #1 - Part #6.srt 10.9 KB
4. Logistic Regression/4. Logistic Regression - Project #1 - Part #1.srt 10.8 KB
5. Support Vector Machines/13. Support Vector Machines - Project #2 - Part #3.srt 10.5 KB
6. K-Nearest Neighbors/3. KNN - Project #1 - Part #1.srt 10.3 KB
5. Support Vector Machines/14. Support Vector Machines - Project #2 - Part #4.srt 10.0 KB
7. Decision Trees and Random Forest/9. Decision Trees & Random Forest - Project #1 - Part #6.srt 9.9 KB
5. Support Vector Machines/11. Support Vector Machines - Project #2 - Part #1.srt 9.6 KB
5. Support Vector Machines/7. Support Vector Machines - Project #1 - Part #5.srt 9.6 KB
7. Decision Trees and Random Forest/10. Decision Trees & Random Forest - Project #1 - Part #7.srt 9.6 KB
4. Logistic Regression/5. Logistic Regression - Project #1 - Part #2.srt 9.2 KB
8. Naive Bayes Classifiers/13. Project #2 - Part #3.srt 8.9 KB
8. Naive Bayes Classifiers/12. Project #2 - Part #2.srt 8.7 KB
7. Decision Trees and Random Forest/12. Decision Trees & Random Forest - Project #2 Overview.srt 8.6 KB
6. K-Nearest Neighbors/7. KNN - Project #2 Overview.srt 8.5 KB
4. Logistic Regression/14. Logistic Regression - Project #2 - Part #2.srt 8.5 KB
8. Naive Bayes Classifiers/8. Project #1 - Part #5.srt 7.2 KB
4. Logistic Regression/12. Logistic Regression - Project #2 - Part #1.srt 7.1 KB
5. Support Vector Machines/3. Support Vector Machines - Project #1 - Part #1.srt 7.0 KB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1. What is Anaconda and How to download it.srt 6.5 KB
4. Logistic Regression/9. Logistic Regression - Project #1 - Part #6.srt 6.3 KB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/2. What are Jupyter Notebooks.srt 5.1 KB
5. Support Vector Machines/10. Project #2 Overview.srt 5.1 KB
7. Decision Trees and Random Forest/4. Decision Trees & Random Forest - Project #1 - Part #1.srt 4.6 KB
1. Introduction/1. Introduction and Welcome Message.srt 3.5 KB
7. Decision Trees and Random Forest/1. Decision Trees and Random Forest Intro and Learning Outcomes.srt 3.2 KB
4. Logistic Regression/1. Logistic Regression Introduction and Learning Outcomes.srt 3.2 KB
5. Support Vector Machines/1. Support Vector Machines Intro and Learning Outcomes.srt 2.6 KB
6. K-Nearest Neighbors/1. K-Nearest Neighbors Intro and Learning Outcomes.srt 2.6 KB
8. Naive Bayes Classifiers/1. Naive Bayes Intro and Learning Outcomes.srt 1.8 KB
1. Introduction/4. Updates on Udemy Reviews.srt 1.7 KB
1. Introduction/3. BONUS Learning Paths.html 1.4 KB
9. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1.1 KB
1. Introduction/6. Get the Materials.html 357 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
1. Introduction/[CourseClub.Me].url 122 bytes
4. Logistic Regression/[CourseClub.Me].url 122 bytes
6. K-Nearest Neighbors/[CourseClub.Me].url 122 bytes
9. Bonus Lectures/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 bytes
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/1.1 Anaconda SetupDownload Page.html 103 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
1. Introduction/[GigaCourse.Com].url 49 bytes
4. Logistic Regression/[GigaCourse.Com].url 49 bytes
6. K-Nearest Neighbors/[GigaCourse.Com].url 49 bytes
9. Bonus Lectures/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes
1. Introduction/2. Introduction and Welcome Message [Course Material Download].html 32 bytes

[GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

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