Don't like banners? Log in and we will make sure you see no banners. For free.
No cover art

[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019

Other
Size
2.3 GB
Seeders
0
Leechers
1
Files
99
Category
Other
Added
at 5:20pm GMT+1
Infohash
a776e8269fee689e79c72ba5c8492b0a47240553
Direct linkTorrent fileDownload now
Don't like banners? Log in and we will make sure you see no banners. For free.

Description
Udemy - Support Vector Machines in Python - SVM in Python 2019



Description

You're looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?

You've found the right Support Vector Machines techniques course!

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.

If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.

Why should you choose this course?

This course covers all the steps that one should take while solving a business problem through Decision tree.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course

We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

Go ahead and click the enroll button, and I'll see you in lesson 1!

Cheers

Start-Tech Academy


Created by Start-Tech Academy
Last updated 3/2020
English
English [Auto-generated]

File list
  • [GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019
  • 1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp4 18.6 MB
  • 1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.srt 2.6 KB
  • 1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp4 48.6 MB
  • 1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.srt 7.5 KB
  • 1. Setting up Python and Python Crash Course/2. Course resources.html 95 B
  • 1. Setting up Python and Python Crash Course/2.1 Files_svm_py.zip 1.8 MB
  • 1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4 73 MB
  • 1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.srt 9.1 KB
  • 1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp4 50.9 MB
  • 1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.srt 12.4 KB
  • 1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp4 15.9 MB
  • 1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.srt 29.1 MB
  • 1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4 80 MB
  • 1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.srt 16.4 KB
  • 1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4 73.2 MB
  • 1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.srt 17 KB
  • 1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp4 53.8 MB
  • 1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.srt 10.5 KB
  • 1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4 56.1 MB
  • 1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.srt 8.2 KB
  • 1. Setting up Python and Python Crash Course/9.1 Customer.csv 64 KB
  • 2. Machine Learning Basics/1. Introduction to Machine Learning.mp4 123.3 MB
  • 2. Machine Learning Basics/1. Introduction to Machine Learning.srt 18.4 KB
  • 2. Machine Learning Basics/2. Building a Machine Learning Model.mp4 44.9 MB
  • 2. Machine Learning Basics/2. Building a Machine Learning Model.srt 9.7 KB
  • 3. Maximum Margin Classifier/1. Course flow.mp4 9.8 MB
  • 3. Maximum Margin Classifier/1. Course flow.srt 1.7 KB
  • 3. Maximum Margin Classifier/1.1 Resources.zip 1.4 MB
  • 3. Maximum Margin Classifier/2. The Concept of a Hyperplane.mp4 35.3 MB
  • 3. Maximum Margin Classifier/2. The Concept of a Hyperplane.srt 4.8 KB
  • 3. Maximum Margin Classifier/3. Maximum Margin Classifier.mp4 26.2 MB
  • 3. Maximum Margin Classifier/3. Maximum Margin Classifier.srt 83 MB
  • 3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.mp4 12.5 MB
  • 3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.srt 2.4 KB
  • 4. Support Vector Classifier/1. Support Vector classifiers.mp4 64.1 MB
  • 4. Support Vector Classifier/1. Support Vector classifiers.srt 9.7 KB
  • 4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp4 13 MB
  • 4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.srt 1.6 KB
  • 4. Support Vector Classifier/3. Quiz.html 166 B
  • 5. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4 45.7 MB
  • 5. Support Vector Machines/1. Kernel Based Support Vector Machines.srt 6.4 KB
  • 5. Support Vector Machines/2. Quiz.html 166 B
  • 5. Support Vector Machines/3. Quiz.html 166 B
  • 6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp4 5.2 MB
  • 6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.srt 811 B
  • 6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.mp4 22 MB
  • 6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.srt 1.8 KB
  • 6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.mp4 54.5 MB
  • 6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.srt 8.2 KB
  • 6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.mp4 11.9 MB
  • 6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.srt 1.8 KB
  • 6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.mp4 78.5 MB
  • 6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.srt 11.5 KB
  • 6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.mp4 70.8 MB
  • 6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.srt 9.8 KB
  • 6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.mp4 22.9 MB
  • 6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.srt 4.1 KB
  • 6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.mp4 45.7 MB
  • 6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.srt 6.6 KB
  • 6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.mp4 41.7 MB
  • 6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.srt 3 KB
  • 6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.mp4 32.2 MB
  • 6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.srt 5.3 KB
  • 6. Creating Support Vector Machine Model in Python/4. Missing value treatment.mp4 22.3 MB
  • 6. Creating Support Vector Machine Model in Python/4. Missing value treatment.srt 3.1 KB
  • 6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.mp4 31.7 MB
  • 6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.srt 4.7 KB
  • 6. Creating Support Vector Machine Model in Python/6. X-y Split.mp4 19.4 MB
  • 6. Creating Support Vector Machine Model in Python/6. X-y Split.srt 3.8 KB
  • 6. Creating Support Vector Machine Model in Python/7. Test-Train Split.mp4 27.5 MB
  • 6. Creating Support Vector Machine Model in Python/7. Test-Train Split.srt 5.8 KB
  • 6. Creating Support Vector Machine Model in Python/8. Standardizing the data.mp4 47.3 MB
  • 6. Creating Support Vector Machine Model in Python/8. Standardizing the data.srt 6.2 KB
  • 6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.mp4 79.8 MB
  • 6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.srt 9.7 KB
  • 7. Bonus Section/1. Bonus Lecture.html 1.6 KB
  • 8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 22.3 MB
  • 8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.srt 3.9 KB
  • 8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.mp4 23.4 MB
  • 8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.srt 4.1 KB
  • 8. Appendix 1 Data Preprocessing/11. Seasonality in Data.mp4 17 MB
  • 8. Appendix 1 Data Preprocessing/11. Seasonality in Data.srt 3.8 KB
  • 8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 100.4 MB
  • 8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.srt 18.3 KB
  • 8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp4 44.1 MB
  • 8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.srt 7.5 KB
  • 8. Appendix 1 Data Preprocessing/14. Non-usable variables.mp4 20.2 MB
  • 8. Appendix 1 Data Preprocessing/14. Non-usable variables.srt 5.4 KB
  • 8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4 36.8 MB
  • 8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.srt 4.9 KB
  • 8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.mp4 26.5 MB
  • 8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.srt 5.5 KB
  • 8. Appendix 1 Data Preprocessing/17. Correlation Analysis.mp4 71.6 MB
  • 8. Appendix 1 Data Preprocessing/17. Correlation Analysis.srt 11 KB
  • 8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.mp4 55.3 MB
  • 8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.srt 6.6 KB
  • 8. Appendix 1 Data Preprocessing/2. Data Exploration.mp4 20.5 MB
  • 8. Appendix 1 Data Preprocessing/2. Data Exploration.srt 3.6 KB
  • 8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 69.4 MB

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
3 GB02
190 MB01
1.4 GB01
2.2 GB01