Machine Learning Track
Rs. 20000
E-Box Exclusive
Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
Machine Learning Track
Rs. 20000
Includes
  • 1 Hrs of lecture Videos
  • 152 hands-on practice exercises
  • 34 Assessment exercises
  • 388 knowledge based questions
  • Lifetime access
About the Course

At the end of this course, you will be able to: 

  • Develop a good understanding of the fundamental concepts of Machine Learning
  • Gain skills in working with algorithms that underpin popular machine learning techniques
  • Build expertise on the underlying mathematical relationships within and across Machine Learning algorithms
  • Explore the paradigms of supervised and unsupervised learning
  • Acquire hands-on experience of working with various machine learning algorithms in a range of real-world applications
Course Objectives

Upon successful completion of the course, the learner will be able to

  • Develop a good understanding of the fundamental concepts of Machine Learning

  • Gain skills in working with algorithms that underpin popular machine learning techniques

  • Build expertise on the underlying mathematical relationships within and across Machine Learning algorithms

  • Explore the paradigms of supervised and unsupervised learning

  • Acquire hands-on experience of working with various machine learning algorithms in a range of real-world applications

Course Content
Linear Regression

In this module you will learn how to perform the task to predict a dependent variable value based on a given independent variable using Linear regression.

  • 6 Hrs 15 Mins
  • 43 Problems
Logistic Regression

In this module you will learn how to perform the task to predict a dependent variable value based on a given independent variable using Logistic regression and how the Logistic regression becomes a classification technique.

  • 7 Hrs
  • 48 Problems
Decision Trees

In this module you will learn how to create a tree-like model of decisions using Decision Tree algorithm.

  • 6 Hrs 15 Mins
  • 43 Problems
Model Selection and Cross Validation

In this module you will learn how to compare different machine learning algorithms, and choose the best one.

  • 6 Hrs
  • 28 Problems
Neural Networks

In this module you will learn how to create a Neural Network Model and use it for predicting the class.

  • 6 Hrs
  • 38 Problems
SVM

In this module you will know how a learned SVM model representation can be used to make predictions for new data.

  • 6 Hrs 15 Mins
  • 43 Problems
Random Forest and Boosting

In this module you will learn how to build a classification algorithm consisting of many decisions trees.

  • 6 Hrs
  • 28 Problems
You will Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
iLearn
In this session, you will find video lectures and other resources to learn the concepts.
iDesign
In this session, you will start designing and creating your own programs.
iExplore
In this session, you will find interesting set of activities which will make you explore more on the specific topic.
iAssess
In this session, you will have activities to self assess your knowledge and skills on the specific topic.
iAnalyse
In this session, you will find varieties of exercises to improve your code analysis, testing and debugging skills.
Why should you choose E-Box for Learning & Skilling ?
Practice Oriented Learning

Learning through E-Box is completely Hands-on and practice based thereby helping you understand the intricacies of Live Project Scenarios

High Quality Content

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With 100’s Mentors online ready to get your Doubts clarified and to Hand Hold you, you will always have someone to sort things our for you

Industry Mentors

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Auto Evaluation

Auto Evaluation is the Core of E-Box. Your solutions and answers are evaluated instantaneously by E-Box, thereby saving learners a lot of time

AI Blended Learning

With Auto - Evaluation being the core of the Platform, E-Box uses AI & ML to assist Learners during their course of Study

Personalised Learning

E-Box’s AI algorithms provide you with Exercises that are Personalised and Adaptive based on your Interest and Calibre

Real Time Metrics

Data becomes the core for evolving a personalised learning. E-Box uses these metrics for an Auto Corrective Learning Process

A - Z, You name the company and You will find our alumni.
We have successfully moulded over 10 lakh students from 100+ colleges and universities and we have a very strong alumni network across the globe
What do our Tutors and Learners Say about E-Box ?
I love the way E- Box teaches topics in such detail. The practical examples along with the Practice quizzes makes me skilled in each

Harihara Budra P, XII std

Harihara Budra P, XII std
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