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    Support Vector Machines in Python: SVM Concepts & Code

    Posted By: lucky_aut
    Support Vector Machines in Python: SVM Concepts & Code

    Support Vector Machines in Python: SVM Concepts & Code
    Last updated 8/2023
    Duration: 6h21m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.71 GB
    Genre: eLearning | Language: English

    Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning
    What you'll learn
    Get a solid understanding of Support Vector Machines (SVM)
    Understand the business scenarios where Support Vector Machines (SVM) is applicable
    Tune a machine learning model's hyperparameters and evaluate its performance.
    Use Support Vector Machines (SVM) to make predictions
    Implementation of SVM models in Python


    Requirements
    Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same
    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
    Who this course is for:
    People pursuing a career in data science
    Working Professionals beginning their Data journey
    Statisticians needing more practical experience
    Anyone curious to master SVM technique from Beginner to Advanced in short span of time

    More Info