Machine Learning Advanced Certification Training

Learn the concepts of regression, clustering, recommender engines, deep learning, and Spark machine learning

Course Snapshot
  • FeeINR 19,999
  • Work Experience0 - 10 Years
  • Duration90 Days
  • Delivery MethodOnline
Course Detail

This course is an advanced level training on Machine Learning application and algorithms. It will ensure you get hands on experience in multiple and highly used machine learning skills in both supervised and unsupervised learning. This machine learning training ensures you can apply machine learning algorithms like Regression, clustering, classification and recommendation.

The unique case study approach ensures you are working hands on with data while you learn. Finally the course trains you in deep learning and Spark Machine learning, skills which are in great demand today.

Course Objectives

After completing this course, you will be able to:
- Classify the types of learning including supervised and unsupervised
- Identify the various applications of machine learning algorithms
- Perform supervised learning techniques linear and logistic regression and understand classification data and models
- Use unsupervised learning algorithms including deep learning, clustering and recommendation systems
- Hands on experience on Machine Learning with Spark

Key Features

- 28 hours of Instructor Led Training
- 2 industry projects in Cloudlabs environment
- Expertise in Supervised and unsupervised learning
- Introduction to deep learning and Spark machine learning

Desired Candidate Profile

- Analytics professionals who want to work in machine learning or artificial intelligence
- Data Science professionals who already have experience in R or Python
- Professionals working in e-commerce, search and other online consumer based organizations
- Software professionals looking for a career switch in the field of Analytics
- Graduates looking to build a career in Data Science and Machine Learning
- Experienced professionals who would like to harness machine learning in their fields to get more insight about customers

Prerequisites: This course will be performed in Python / R hence we have an introduction to these languages in the program itself.

Course Modules

Lesson 1: Introduction to Machine Learning
Lesson 2: Walking with Python or R
Lesson 3: Machine Learning Techniques
Lesson 4: Supervised Learning
Lesson 5: Supervised Learning - Regression
Lesson 6: Supervised Learning - Classification
Lesson 7: Unsupervised Learning
Lesson 8: Unsupervised Learning - Clustering
Lesson 9: Unsupervised Learning - Recommendation
Lesson 10: Unsupervised Learning - Deep Learning
Lesson 11: Spark Core and MLLib

To get Machine Learning certification, you will need to submit one of the projects and after successful evaluation by the trainer you will receive the certification.

Project 1: Tell Users Which Movies to Watch
Project 2: Predict loan defaults