Course Name
Machine Learning
Learners (3951)
Register Now INR 16,000.00

Machine Learning Training Course

Learnests training in Machine Learning is a comprehensive course for mastering the various aspects of machine learning. You will learn about supervised and unsupervised learning, Support Vector Machines, Random Forest Classifiers, the best practices of machine learning and more through hands-on projects and case studies.

Introduction to Machine Learning

Objective: The history of artificial intelligence, how machine learning fits into the picture, importance of machine learning, the various algorithms in machine learning, how machine learning is changing various industries.

Various techniques of Machine Learning

Objective: The various techniques of machine learning like supervised, unsupervised and reinforcement learning, the various aspects of bias and variance trade-off, representation learning.

Mathematics of Machine Learning

Objective: The fundamentals of machine learning mathematics, the various algorithms used in machine learning, the concepts of statistics, various aspects of calculus, probability and statistics.

Preprocessing of data

Objective: Preparing data for machine learning, the aspects of feature engineering, dimensionality reduction, data sets and feature scaling.

Supervised learning techniques

Objective: The importance of supervised learning in machine learning, parametric and non-parametric algorithms, neural networks, kernels for pattern analysis.

Introduction to regression

Objective: The various types of regressions, linear regression, random forests, gradient descent, decision tree regression, regularization.

Techniques of classification

Objective: Introduction of classification, the various techniques of classification like logistic regression, Support Vector Machines, K-Nearest Neighbour, Naïve Bayes, Decision Tree Classifier, Random Forest Classifier.

Unsupervised Learning

Objective: The introduction to unsupervised learning, the various techniques used in unsupervised learning like clustering, K-Means Clustering.

Introduction to Deep Learning

Objective: How deep learning differs from machine learning, artificial neural networks with multiple layers, introduction to TensorFlow for building neural networks, backpropagation algorithm in neutral networks.

Online live courses have become extremely popular due to the following reasons:

  • Flexibility and convenience of location and time.
  • As the course is spread over a few weeks, you get a chance to practice what you have learnt in a session before the following session. This results in much better understanding and learning
  • You get 24x7 learning support and access to excellent learning resources, subject materials at one place.
  • You can interact and collaborate with the industry experts, instructors, other learners of the course during and after the course
  • Access to the sessions recordings – this is important if you miss a session or want to do a quick revision
  • Provision of real-time cloud based labs.

On enrollment, each student is given access to a personalized LMS - Learning Management System. This features your class recordings, presentations, assignments, installation guides, data-sets, quizzes, forums and project documents.

This LMS access is for life-time.

We have a 24/7 support team featuring expert professionals with at least 3 years of experience in the specific technology. In addition to this, they're also given soft-skills training to ensure the best possible experience for you.

The support team is accessible via phone, email, live chat & video-calls. Please note, this is a lifetime facility. Even after course completion you can access the support facilities.

We are only happy, if you are happy. If you have any reason to doubt the content, delivery & expertise of our program, you are eligible for a 100% refund within 7 days of enrollment.

Your payment only comes into our accounts after 7 days, thus ensuring that your refund will be immediately processed.

If you enroll for 2 or more courses at once; your refund policy only stands till the completion of the first course.

We offer 100% placement assistance to its learners who are open to new job opportunities:

  • We have collaborated with many companies who give us their hiring requirements
  • These hiring partners also have access to the profiles of the learners who are looking for career opportunities, to initiate a contact with them
  • Learnests will also send you a curated list of job postings that come up on various websites pertaining to your field of interest.

Note: Learnests offers placement assistance to every learner who wishes to look at career opportunities. However, we do not offer any job guarantee.

During this course; you will be provided with 5 live industry grade projects. Each project will feature data-sets, use-cases & guides from the following industries:

  • Finance
  • Healthcare
  • Social Media
  • Entertainment
  • Retail

It will take you an average of 10 hours to complete each project.

Each student will be given a certification of course completion only after they finish the classes as well as their projects. The grade will be based on their performance as judged by the instructor. This certificate is recognized by all our corporate partners.