Description:
This Machine Learning covers a detailed overview of Machine Learning algorithms and techniques such as regression, classification, time series modelling, supervised and unsupervised learning, Natural Language Processing, etc. You will also use Python to write code for implementing Machine Learning algorithms in this Machine Learning certification training.
 
Course Outline:
Module 01 - Introduction to Machine Learning
Module 02 - Supervised Learning and Linear Regression
Module 03 - Classification and Logistic Regression
Module 04 - Decision Tree and Random Forest
Module 05 - Naïve Bayes and Support Vector Machine (self-paced)
Module 06 - Unsupervised Learning
Module 07 - Natural Language Processing and Text Mining (self-paced)
Module 08 - Introduction to Deep Learning
Module 09 - Time Series Analysis (Self-paced
 
Key Features:

32 Hrs Instructor Led Training
24 Hrs Project work & Exercises
Course Completion Certificate
Flexible Schedule
Class Training Recording
All kind of Support

FAQ

What if I miss a class?
"You will get two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch."

What if I have queries after I complete this course?
Your access to the Support Team. The team will help you in resolving queries, during and after the course.

How soon after Signing up would I get access to the Learning Content?
Post-enrolment, the LMS access will be provided to you in 24 to 48 Hours. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments.


Is the course material accessible to the students even after the course training is over?
Yes, the access to the course material will be available after Course Training

Can I Attend a Demo Session before Enrolment?
 We Will Provide you complete previous class training recording once you enrol with us