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Machine Learning

by

Guvi

Master one of the most in-demand skills of the decade: Machine Learning and learn how to build and train various ML models efficiently with this beginner-to-expert Machine Learning course.
2499.00
3399.00
26% Discount

#1

See all ranking

Machine Learning

by

Guvi

Master one of the most in-demand skills of the decade: Machine Learning and learn how to build and train various ML models efficiently with this beginner-to-expert Machine Learning course.
2499.00
3399.00
26% Discount

#1

See all ranking

4 Modules

with Certifications

3+ Hours

of Recorded Content

4.3 Rated

by 89871 Learners

English

Language

4 Modules

with Certifications

3 + Hours

of Recorded Content

4.3 Rated

by 89871Learners

Read all Reviews

English

Language

What's in it for You?

This comprehensive machine learning course designed by industry experts will teach you all the core concepts that drive machine learning and how to build and train various ML models that are used to build real-world data-driven applications. Throughout this course, you will learn a series of concepts such as Supervised and Unsupervised learning, Classification, Regression, SVM’s decision trees, Overfitting, and Random forests to name a few. You will be working with one of the most popular ML libraries in Python: Scikit-learn and will learn to write code like a pro. Addedly, you will build as well as train classification and regression models and evaluate their performance on real-world datasets as part of your project experience in the curriculum.
This comprehensive machine learning course designed by industry experts will teach you all the core concepts that drive machine learning and how to build and train various ML models that are used to build real-world data-driven applications. Throughout this course, you will learn a series of concepts such as Supervised and Unsupervised learning, Classification, Regression, SVM’s decision trees, Overfitting, and Random forests to name a few. You will be working with one of the most popular ML libraries in Python: Scikit-learn and will learn to write code like a pro. Addedly, you will build as well as train classification and regression models and evaluate their performance on real-world datasets as part of your project experience in the curriculum.

Key Features:

Globally Recognised Certification
100% online and Self-paced learning
Full lifetime access to all content
Access to 4 Gamified Practise Platforms
Dedicated Forum Support to clear all your doubts
7 Days refund Policy

Topics you will learn

  • Beginner Module

      • About Machine Learning Course
      • Installation of Anaconda
      • What is Machine Learning
      • Types of Machine Learning, Supervised Learning and Regression
      • Types of ML,Logistic Regression and Unsupervised Learning

  • Intermediate Module

      • SVM -What is SVM and How do they work
      • SVM-Loading and Examining our dataset
      • SVM-Building and Tweaking our SVM Classification mode

  • Advanced Module

      • What is Decision Tree?
      • Building the Decision Tree : Decision Tree Learning
      • Building a Decision Tree - Information Gain a Gini Impurity
      • Decision Tree Lab:Building our First Decision Tree
      • Decision Tree Lab:Viewing and Tweaking our Decision Tree

  • Expert Module

      • What is Overfitting
      • Random Forest Lab
      • Teamwork
      • Avoiding Overfitted Models

Course Offerings

Certificate you will get

IITM Pravartak certified Python certification.
Certificates are globally recognized & they upgrade your programming profile.
Certificates are generated after the completion of course.

After this Course

Gain strong knowledge of Machine Learning concepts and how to implement them.
Write Python code using Scikit-learn like a pro.
Understand Supervised and Unsupervised Learning.
Implement a number of different Machine Learning algorithms and monitor their output.
Create prediction models using Classification and Regression.
Build and train ML models as well as implement them on huge real-world datasets.

Pre Requsites

Basic knowledge of the Python programming language.
Some beginner knowledge of Machine Learning would be a big plus.

Course is for

Freshers

Professionals

Students

FAQ's

  • What is a machine learning course?
    A machine learning course enriches you with a practical introduction to machine learning with a series of video lessons and lectures, practice exercises, and hands-on project experiences. Throughout the course will learn all of the core ML concepts and be able to build and train machine learning models for binary classification tasks, generating data-influenced predictions as well as linear and logistic regressions using various machine learning libraries and mostly Python.
  • Which are the best online courses for machine learning?
    There are multiple courses available online that will teach you how to build and train machine learning models, essential for the processing of all kinds of data. The Machine Learning 101 certification course offered by GUVI is one of the best machine learning courses available online as it has been designed and taught by industry experts with years of experience in the tech industry, is completely self-paced, and provides you with a globally-recognized, job-ready certificate.
  • Who can learn from a machine learning course?
    Anybody with an interest in learning and building various ML models for the efficient utilization of data can learn to do so through a machine learning course. You must have an ample amount of dedication and focus in order to master this skill and advance your tech career. Even if you have no coding experience, this Machine Learning 101 course offered by GUVI is completely beginner friendly and will help you work your way up with algorithms and hands-on practice questions.
  • What are the benefits of a machine learning course?
    A machine learning course is very beneficial for students aiming to build their careers in the fields of AI, Deep Learning, Analytics, and Data Science, as well as for professionals already working in these fields. Throughout this course, you learn how to build and train ML models that are used for processing vast amounts of data and drawing meaningful insights from it which in turn are used for making predictions, understanding trends and outliers, in the recommendation and smart systems all around the world. This is very beneficial for businesses and corporations across all industries.
  • What are the job opportunities available after completing the machine learning course?
    Being able to efficiently work with data is one of the most in-demand skills of the decade as everything around us is data-driven and machine learning helps us achieve significant results in doing so. Hence, after completing a machine learning course you can bag a high-paying job in various roles such as a Machine Learning Engineer, Data and Business Analyst, and Data Scientist, to name a few.

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