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Machine Learning Certification Training in Melbourne

Machine Learning Certification Training Course in Melbourne by GangBoard is an industry-oriented training. In Machine Learning Certification Training by GangBoard in Melbourne you will gain mastery over concepts such as supervised learning, unsupervised learning, statistics, probability, decision tree, linear regression, random forest, logistic regression. As part of Machine Learning Online Training by GangBoard in Melbourne you will work on Real-world projects and get Hands-on Experience. Course modules for Machine Learning Course by GangBoard in Melbourne have been prepared by GangBoard experts who have many years of working experience in industry. They syllabus of Machine Learning Training by GangBoard in Melbourne resonates with the current demands of industry and hence this Machine Learning Training by GangBoard in Melbourne will help you become successful Machine Learning Professional.GangBoard awards Certification to those who successfully complete the training. GangBoard certificates hold significance as they are recognized by all top companies and stand for competence and quality. As Machine Learning Engineer you will be able to earn $146,085 per annum.
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About Course

Machine Learning Course by GangBoard in Melbourne represent all-inclusive program for those who want to gain mastery over several aspects of Machine Learning. In Machine Learning Certification Training by GangBoard in Melbourne you will learn about various modules of Machine learning, SVM or Super Vector Machines and work on some of the best practices utilized in industry related to Machine Learning.

What will you learn in Machine Learning Training in Melbourne?

You will learn about the following concepts in Machine Learning Training by GangBoard in Melbourne:

  • Use of data for machine training
  • Artificial Neural Networks
  • Logistic and Linear regression
  • Support Vector Machines
  • Machine Learning System design
  • Data modelling and Principal Component Analysis

Who should go for Machine Learning Certification Training in Melbourne?

If you want to make a career in Machine Learning domain, Machine Learning Training by GangBoard in Melbourne is ideal for you. Machine Learning Training by GangBoard in Melbourne should also be taken up by analytics professionals, Data Scientists, professionals of search engine domains and e-commerce etc.

What are the prerequisites for Machine Learning Training in Melbourne?

There are no prerequisites for Machine Learning Training by GangBoard in Melbourne. Anybody who wants to learn Machine Learning can take up Machine Learning Training by GangBoard in Melbourne without any prior skills.

What are Machine Learning job opportunities in Melbourne?

Due to Australia’s economy, Machine Learning jobs are the highest paid in the world. All IT-jobs that exist are mostly located in Melbourne. Due to this, Machine Learning job opportunities are growing in Melbourne. If you are skilled Machine Learning engineer you can easily increase the profit of the company. Melbourne is one of the best places to make your career grow as Machine Learning Certified professional.

What is Machine Learning market trend in Melbourne?

Australian scenario for Machine Learning jobs in Melbourne has been the best. Now with the booming IT sectors it is more certain than before. Companies are looking for Machine Learning certified professionals with the right skills and knowledge to apply in the industry oriented scenarios. With Machine Learning Training by GangBoard in Melbourne you will make your mark in this domain and take your career to new heights.

Why you should take up Machine Learning Training in Melbourne?

Machine Learning has been one of the prominent domains. Machine Learning concepts are being deployed in almost all organizations. Search engines and self-driving cars are some of the examples of applications of Machine Learning. Machine Learning has made our lives simpler. Machine Learning Training by GangBoard in Melbourne will help you excel in your career and seize the best jobs in the industry.

Machine Learning Training Syllabus

Module 1- Introduction to Data Analytics

Objectives:
  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of 'R' in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
Topics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming

Objectives:
  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the 'join' function in SQL.
Topics
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R

Objectives:
  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.
Topics
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in

Objectives:
  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.
Topics
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis

Objectives:
  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
Topics
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression
 

Objectives:
  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & 'Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
Topics
  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification
 

Objectives:
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in 'K-means Clustering', the various statistical measures you need to know to implement it in this module.
Topics
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis

Objectives:
  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and mine live data from Twitter to find out the sentiment of the tweets.
Topics
  • Anova
  • Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest

Objectives:
  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.
Topics
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work

  • 2 Real-time projects
 

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
25 Oct 2019 22 Nov 2019 (09:30 PM - 11:00 PM) Fri,Sat
26 Oct 2019 23 Nov 2019 (09:30 AM - 11:00 AM) Sat,Sun
28 Oct 2019 25 Nov 2019 (09:30 PM - 10:00 PM) Mon-Fri
29 Oct 2019 26 Nov 2019 (11:00 AM - 11:30 AM) Tue-Sat
29 Oct 2019 26 Nov 2019 (09:30 AM - 10:00 AM) Tue-Sat

Machine Learning Certification Training in Melbourne Reviews

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9707 250 260 / +1-917 410 5449. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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GangBoard 5 Star Rating: Recommended 5 out of 5 based on 1342 ratings.