30
Jun 2020

Machine Learning(LIVE Stream)

Course Information

Start Date30 Jun 2020, Tuesday
End Date30 Jun 2020, Tuesday
Time09:00 am to 05:00 pm
VenueOnline
Fee$780 (Excluding GST), Inclusive of e-certificate, e-materials
Contact6720 3333 (Ms Rina) training.aventis@gmail.com
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LIVE Stream

In Partnership with Simplilearn

This is an ONLINE course. Participants are able to access to the online course upon completion of registration.

Once activated, the licenses will be valid for ONE YEAR from the date of activation.

Course Overview

This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification, and time series modeling. Learn how to use Python in this Machine Learning training course to draw predictions from data.

Eligibility

The Machine Learning certification course is well-suited for participants at the intermediate level including, analytics managers, business analysts, information architects, developers looking to become data scientists, and graduates seeking a career in Data Science and Machine Learning.

Pre-requisites

This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.

Course Content

 

          • Lesson 01 Course Introduction

          • Lesson 02 Introduction to AI and Machine Learning

          • Lesson 03 Data Preprocessing

          • Lesson 04 Supervised Learning

          • Lesson 05 Feature Engineering

          • Lesson 06 Supervised Learning Classification

          • Lesson 07 Unsupervised Learning

          • Lesson 08 Time Series Modeling

          • Lesson 09 Ensemble Learning

          • Lesson 10 Recommender Systems

          • Lesson 11 Text Mining

          • Lesson 12 Project Highlights

          • Practice Projects

The training was awesome. The instructor has done a great job. He was very patient throughout the sessions and took additional time to explain the concepts further when we had queries.

Arjun Nemical