About Course
Course modules for Machine Learning Course by GangBoard in Melbourne have been prepared by GangBoard experts who have many years of working experience in the industry. The 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 a 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 a Machine Learning Engineer you will be able to earn $146,085 per annum.
Machine Learning Course by GangBoard in Melbourne represents an 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.
What you'll learn from this course?
- Introduction to Data Analytics
- Introduction to R programming
- Data Manipulation in R
- Data Import techniques
- Exploratory data Analysis
- Data Mining: Clustering techniques, Regression & Classification
- Anova & Sentiment Analysis
- Data Mining: Decision Trees and Random Forest
- Project work
- Basics of Statistics & Linear & Logistic Regression
Upcoming Batches for Machine Learning Training in Melbourne
Our Machine Learning Online Course gives students the opportunity to take classes on your flexible timings. Choose from a number of batches as per your convenience. If you got something urgent to do, reschedule your batch for a later time. The classes can be attended to at any place and at any time as per your choice.
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Enroll Now Pay Later Request a BatchMachine 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
Are you Looking for Customized Syllabus
We are also providing customized syllabus to the students according to their needs and projects requirements for the cons
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IT Professionals as Trainers
Learning a technology with a professional who is well expertise in that solve 60% of your needs.
Fully Hands-on Training
We support any training should be more practical apart from theoretical classes. So, we always gives you hands-on training.
Affordable Fees
We are dead cheap in fees. We are having options to make the payment in instalments as well if needed.
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We satisfied 10000+ students from the day we started GangBoard. Take a look of our old student’s video reviews and it says all.
Counselling by Experts
If you are in dilemma to choose a course, we are having experts in counselling team to help you with perfect projection of your career.
Own Course Materials
We have every course material to understand which is prepared by our trainers and we will share with you after session completes.
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Machine Learning Exams & Certification
GangBoard Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at GangBoard is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
5000
Total Number of Reviews
4.57
Aggregate Review Score
97%
Course Completion Rate
At the End of our Machine Learning Online Course, you will be assigned to work real-time projects. Once you completed the project with expected results we will verify and issue a globally recognized Machine Learning Course Completion Certificate from GangBoard.
Machine Learning Certification Training in Melbourne Reviews
Average Ratings
Activity from April 2018
4.8
Course Reviews
Activity from Last Year
1596 ReviewsAverage Ratings
GangBoard Total Reviews in all Medium
21,596 ReviewsManbir
Fresher
I have completed the Machine Learning Certification Training in Melbourne from GangBoard. I would like to mention that this course had helped me to enhance my skill in this domain and glad to have a most informative session with my trainer Mr. Sandeep.
sandheep
Fresher
Hi, I am Sandeep.I Joined Machine Learning Certification Training in Melbourne. Classes went good, teaching was excellent understood the concepts very well. Our trainer Ganesh did a good job explained the concepts in an understanding and friendly way. They complete the course as a proper schedule. Thanks, GangBoard and Trainer.
Lohit
Fresher
I completed my Machine Learning Certification Training in the Melbourne branch. Our trainer was Priyadarshan, he has got an excellent knowledge in this technology. His way of explaining concepts is very clear and his biggest plus is that he makes the class very interactive by frequently asking questions. Thanks! GangBoard!!
Krishna
Fresher
I had undertaken Machine Learning Certification Training in Melbourne and to start with I had no previous experience of any programming language. The learning was great due to the Faculty, Mr. Raja. He never trained us and always made us learn mostly by ourselves since Programming can not be taught / Trained. His teaching methodology was simple yet effective and made you explore more! Thank you and best wishes!
Nakul
Fresher
Sandip helped me with good introduction to Machine Learning Certification Training and brought in the right examples to help me with my learning… I also got enough individual attention… thanks to him, I learned angular basics in a short time.
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