Courses × Browse Corporate Training All Courses

Machine Learning Training Course in Melbourne, Australia

4.8 578 Ratings 2,470 Learners

Intellipaat’s Machine Learning course in Melbourne is aimed at making you proficient in Machine Learning (ML). It is a subset of Artificial Intelligence that helps automate the process of data analysis by allowing computers to learn and adapt from past experiences to perform particular tasks without being explicitly programmed. In this Machine Learning training in Melbourne, you will learn Python, ML algorithms, probability, statistics, decision trees, and more. Besides, you will receive 24 hours of technical support. Further, you will work on projects and assignments based on various ML modules that will substantiate your learning. Finally, you will be certified in Machine Learning by Intellipaat.

Key Features

32 Hrs Instructor-led Training
32 Hrs Self-paced Videos
64 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Course Benefits

4.8/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 20334
Entry-Level Machine Learning Engineer
Mid-Career Machine Learning Engineer
Experienced Machine Learning Engineer
$ 12281 Starting
$ 20334 Median
$ 35088 Experienced
Companies Hiring Machine Learning Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Machine Learning Course in Melbourne Overview

This Machine Learning course in Melbourne is led by experts in the industry. It focuses on the key concepts of Machine Learning such as using ML techniques to create algorithms, linear and logistic regression, time series modeling, random forests, etc. In addition, you will cover Deep Learning technology and applications, along with Natural Language Processing. After this course, you will be completely prepared to become a Machine Learning Engineer. Finally, we will make you job-ready via mock interviews, resume preparation, and more. So, register for this one of the best Machine Learning courses in Melbourne.

What topics will you cover in this Machine Learning course in Melbourne?

In this Machine Learning course, you will cover the following topics:

  • Artificial neural networks
  • Supervised and unsupervised learning
  • Designing ML systems
  • Vector machine algorithm
  • Principal component analysis of data modeling
  • Performing linear regression using Python
  • Categorizing data in Python using logistic regression
  • Training machines and systems using data

Professionals who can enroll in these Machine Learning classes in Melbourne include:

  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Search Engine Professionals
  • E-commerce Professionals
  • Professionals who are looking for a career transition
  • Graduates who want to make a career in the field of ML

There are no prerequisites to sign up for this Machine Learning training from Intellipaat, one of the leading Machine Learning Institutes in Melbourne.

This Machine Learning course is curated by SMEs from leading organizations. The main objective of this certification program is to help you learn the fundamentals of ML such as Python, NLP, Naïve Bayes, etc. For you to grasp these concepts completely, you will work on real-time assignments at the end of each training session. Further, you will work on industry-based data-driven projects that will improve your skills and give you experience in solving real-world issues.

You will acquire the following skills after bagging this Machine Learning certification in Melbourne:

  • Statistical facets of Machine Learning
  • Implementing Naïve Bayes, Support Vector Machines (SVM), and Kernel SVM
  • Validating ML models
  • Capturing ML concepts

In this Machine Learning certification, you will work on the latest and most relevant projects. You can practice the concepts you have learned. There are a number of projects that will test your skills and practical knowledge to ensure that you are ready to become a professional in this field. These projects will serve as industry experience.

View More

Talk to Us

Machine Learning Engineers rank among the top emerging jobs. - LinkedIn
The global machine learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Skills Covered

  • Python
  • Scikit-Learn
  • Decision Tree and Random Forest
  • Naïve Bayes
  • Support Vector Machine (SVM)
  • Kernel
  • Decision Tree 
  • Random Forest
  • k-means clustering
  • Principal Component Analysis (PCA)
  • Natural Language Processing (NLP)
  • Text mining
  • NLTK Corpora
  • Deep Learning
View More

Fees

Self Paced Training

  • 32 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$211

Online Classroom preferred

  • Everything in self-paced, plus
  • 32 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 01 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 07 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 15 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$351 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Machine Learning Course Content in Melbourne

Module 01 - Introduction to Machine Learning Preview

1.1 Need of Machine Learning
1.2 Introduction to Machine Learning
1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning

Module 02 - Supervised Learning and Linear Regression

2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification
2.2 Introduction to regression
2.3 Simple linear regression
2.4 Multiple linear regression and assumptions in linear regression
2.5 Math behind linear regression

Hands-on Exercise:

1. Implementing linear regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple linear regression and multiple linear regression
3. Implementing train–test split and predicting the values on the test set

3.1 Introduction to classification
3.2 Linear regression vs logistic regression
3.3 Math behind logistic regression, detailed formulas, the logit function and odds, confusion matrix and accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR

Hands-on Exercise:

1. Implementing logistic regression from scratch with Python
2. Using Python library Scikit-Learn to perform simple logistic regression and multiple logistic regression
3. Building a confusion matrix to find out accuracy, true positive rate, and false positive rate

4.1 Introduction to tree-based classification
4.2 Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
4.3 Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
4.4 Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest

Hands-on Exercise:

1. Implementing a decision tree from scratch in Python
2. Using Python library Scikit-Learn to build a decision tree and a random forest
3. Visualizing the tree and changing the hyper-parameters in the random forest

5.1 Introduction to probabilistic classifiers
5.2 Understanding Naïve Bayes and math behind the Bayes theorem
5.3 Understanding a support vector machine (SVM)
5.4 Kernel functions in SVM and math behind SVM

Hands-on Exercise:

1. Using Python library Scikit-Learn to build a Naïve Bayes classifier and a support vector classifier

6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
6.2 Introduction to k-means clustering
6.3 Math behind k-means
6.4 Dimensionality reduction with PCA

Hands-on Exercise:

1. Using Python library Scikit-Learn to implement k-means clustering
2. Implementing PCA (principal component analysis) on top of a dataset

7.1 Introduction to Natural Language Processing (NLP)
7.2 Introduction to text mining
7.3 Importance and applications of text mining
7.4 How NPL works with text mining
7.5 Writing and reading to word files
7.6 Language Toolkit (NLTK) environment
7.7 Text mining: Its cleaning, pre-processing, and text classification

Hands-on Exercise:

1. Learning Natural Language Toolkit and NLTK Corpora
2. Reading and writing .txt files from/to a local drive
3. Reading and writing .docx files from/to a local drive

8.1 Introduction to Deep Learning with neural networks
8.2 Biological neural networks vs artificial neural networks
8.3 Understanding perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders

9.1 What is time series? Its techniques and applications
9.2 Time series components
9.3 Moving average, smoothing techniques, and exponential smoothing
9.4 Univariate time series models
9.5 Multivariate time series analysis
9.6 ARIMA model and time series in Python
9.7 Sentiment analysis in Python (Twitter sentiment analysis) and text analysis

Hands-on Exercise:

1. Analyzing time series data
2. The sequence of measurements that follow a non-random order to recognize the nature of the phenomenon
3. Forecasting the future values in the series

View More
32
Hours of Instructor-led Training
32
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Machine Learning Projects

Analyzing the Trends of COVID-19 with Python

In this project, you will be using Pandas to accumulate data from multiple data files, Plotly to create interactive visualizations, Facebook’s Prophet library to make time series models, and visualizing the prediction by combining these technologies.

image

Customer Churn Classification

This project will help you get more familiar with Machine Learning algorithms. You will be manipulating data to gain meaningful insights, visualizing data to figure out trends and patterns among different factors, and implementing algorithms like linear regression, decision tree, and Naïve Bayes.

image

Creating a Recommendation System for Movies

You will be creating a Recommendation system for movies by working with Rating prediction, item prediction, user-based methods in k-nearest neighbor, matrix factorization, decomposition of singular value, collaboration filtering, business variables overview, etc. Two approaches you will use are memory-based and model-based.

image

Case Study 1 - Decision Tree

Conducting this case study will help you understand the structure of a dataset (PIMA Indians Diabetes database) and create a decision tree model based on it by making use of Scikit-Learn.

image

Case Study 2 - Insurance Cost Prediction (Linear Regression)

In this case study, you will understand the structure of a medical insurance dataset, implement both simple and multiple linear regressions, and predict values for the insurance cost.

image

Case Study 3 - Diabetes Classification (Logistic Regression)

Through this case study, you will come to understand the structure of a dataset (PIMA Indians Diabetes dataset), implement multiple logistic regressions and classify, fit your model on the test and train data for prediction, evaluate your model using confusion matrix, and then visualize it.

image

Case Study 4 - Random Forest

You will be creating a model that would help in classifications of patients in the following ways: ‘is normal,’ ‘is suspected to have a disease,’ or in actuality ‘has the disease’ with the help of the ‘Cardiotocography’ dataset.

image

Case Study 5 - Principal Component Analysis (PCA)

As part of the case study, you will read the sample Iris dataset. You will use PCA to figure out the number of most important principal features and reduce the number of features using PCA. You will have to train and test the random forest classifier algorithm to check the model performance. Find the optimal number of dimensions that will give good quality results and predict accurately.

image

Case Study 6 - K-means Clustering

This case study involves data analysis, column extraction from the dataset, data visualization, using the elbow method to find out the appropriate number of groups or clusters for the data to be segmented, using k-means clustering, segmenting the data into k groups, visualizing a scatter plot of clusters, and many more.

image

Machine Learning Certification in Melbourne

As part of this ML program, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.

Intellipaat’s certificate will be issued once you successfully work on the project (after expert review) and score at least 60 percent in the quiz.

You would be glad to know that Intellipaat’s certification training is recognized by more than 500  top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

Machine Learning Training Reviews in Melbourne

 course-reviews

Mr Yoga

 course-reviews

John Chioles

 course-reviews

Ritesh

 course-reviews

Dileep & Ajay

 course-reviews

Sagar

 course-reviews

Ashok

Raghavendra Narayan

Business Analyst at Tata Consultancy Services

They provided one of the best Machine Learning online courses in the market. I really liked the way Intellipaat had approached such a complex topic as ML and made it so easy to understand. 5 stars to Intellipaat for conducting such wonderful Machine Learning training!

intellipaat-avatar

Bharat Rathore

Expert in Data Analysis & Data Science

Machine Learning online certification course were top-notch, and the material was very good with lots of real-world examples. Learning with Intellipaat was a great experience!

Bharti karma

Analyst at Oracle India Pvt. Ltd

I had recently completed my ML course with Intellipaat. All the concepts were clearly explained by the trainer. I was able to understand and grasp the concepts easily. Also, I could clear all my doubts related to the program on the given platform.

intellipaat-avatar

Samar Jain

Business Analyst at McKinsey & Company

The program was amazing, and the trainer did a great job of explaining key concepts. He was extremely patient throughout the lectures and gave enough time and effort to explain each and every concept. I was extremely satisfied with this training online.

Rich Baker

Director at SBD System

This Machine Learning with Python course was very comprehensive, well-planned, extremely organized, and elaborate. Besides, the assignments and projects that had to be solved after the program really helped in testing my skills and knowledge acquired.

Vikrant Singh

Big Data Analytics

An excellent Machine Learning certification course with extremely interactive sessions. It was very well delivered and structured. Even the complex concepts were taught with extreme ease, along with practical, real-life, and relatable examples. This helped a great deal in getting hold of the concepts and comprehending the same.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

Here, concepts were taught from the basics, which was really helpful for me as I am not from a computer science background. Moreover, the material was easily available and accessible even after I completed the program. This was convenient and helpful as I could refer to the concepts whenever I wanted. I would recommend it as one of the best machine learning courses!

Adegboyega During

Keystone Bank Limited

Overall, the most delightful aspect of this online program was placement assistance. The team really did a great job in preparing me for a job interview by conducting a number of dummy interviews. I am extremely grateful to the team for helping me. They also help me prepare my resume as per the job role I was seeking.

Satya

Sr. Manager at Cognizant Technology Solutions

I am an ML Engineer in a well-reputed organization. I started working here recently, and I got this job opportunity only because of this best training course on this technology. After completion, Intellipaat opened the door to many job opportunities that helped me secure a good job of my choice.

intellipaat-avatar

Nandini Shankar

Senior Software Engineer at ACC Limited

I always had a keen interest in AI and ML. Intellipaat’s classes are of high quality, and trainers are the best in knowledge. I feel that enrolling in Intellipaat is the best decision I made for upskilling myself.

Bhanukumar Muppalla

Software Engineer at DXC Technology

I have learned a few technologies online from other online providers, but I was never quite satisfied. I recently took up this python Machine Learning course online, and I am still going through it. But, unlike my previous experiences, this is very interactive and helps me grasp all concepts with little effort.

Amitav Tripathy

Project Manager at Micro Focus

An overwhelming Machine Learning online course with concepts taught in great detail. The 24-hour support provided was really helpful when I had to clear my doubts. Moreover, the resource material provided was comprehensive and interesting, which made it easy to learn.

intellipaat-avatar

Kavita Mehra

Hadoop Developer at TCS

This ML online program was up-to-date, and the instructor taught all the concepts in great detail. It was a very informative training course with all the topics taught step by step. It helped me a lot in becoming proficient in both ML and Deep Learning concepts.

Shreyash Limbhetwala

Technical Delivery Lead

I had completed this training course a while back, and the job assistance they provided me was extremely supportive. The team offered mind-blowing support for upgrading my resume with the new skills that I had acquired during the program. They also conducted several mock interviews, which gave me confidence during my actual interview and helped me successfully land the job. Overall, it is one of the best training courses ever.

FAQ’s on Machine Learning Certification Course

Why should I learn Machine Learning Course in Melbourne from Intellipaat?

Intellipaat provides comprehensive teaching in Machine Learning through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat ML training course includes the following:

  • You will learn various concepts such as ML using Python, classification techniques, linear and logistic regression, supervised and unsupervised learning, and more.
  • After successfully completing the lectures, you will be awarded Intellipaat’s certificate, which holds merit in 100+ MNCs across the world.
  • This program covers real-time ML projects and step-by-step tasks that are highly relevant in the corporate world. It also includes an extensive curriculum, created by industry experts.
  • Our certification training will allow you to compete for some of the best positions in the world’s leading MNCs for higher salaries.

We provide lifetime access to videos, resources and their free upgrades to the latest version, and 24/7 learning support.

Machine Learning is basically the process to collect real-world data, extract useful information from it, and then take actions to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

No doubt, Machine Learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.
Here, at Intellipaat, we create our program by taking into consideration our learners come from varied backgrounds. So, we curate it from the basic level and gradually increase the difficulty level for you to easily grasp all the concepts taught as part of the program. Further, we make sure that, by the end of the program, your skills would be equivalent to 6-month experience in this technology.

Intellipaat’s Machine Learning certification course is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.

Here, you will learn mathematics, statistics, etc. and then go on gaining in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.

Among various other institutes that provide the python Machine Learning course online, Intellipaat offers it at the most reasonable and affordable rate. It provides two modes of training, namely, self-paced and online instructor-led.

Intellipaat’s self-paced Machine Learning program costs about US$160, where you will be able to learn from pre-recorded video lectures at your own pace. The online instructor-led one, on the other hand, costs about US$265. In this, you will attend live lectures from trainers, along with which you will receive access to the self-paced program as well. Hence, this program is extremely beneficial.

You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to it as and when required.

We select instructors who are top SMEs in the industry with a minimum of 8 to12 years of experience in the field of Machine Learning. They are all extremely qualified trainers in the field of Machine Learning and Artificial Intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.

Intellipaat’s teaching assistant team consists of technical experts who help learners in various aspects, including doubt clearance, assignment sessions, and project evaluation.

As part of career services, we conduct mock interviews and help in developing your resume and a LinkedIn profile. Besides, we have a dedicated job portal where you can interact with recruiters and apply to job openings. Our job portal has more than 500 recruiters on-board, including some of the top companies such as Amazon, Flipkart, etc.

Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail the group discount for our Machine Learning advance course, you need to contact our course advisors, who will help you with all your doubts regarding the discount offers we provide.

Intellipaat accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from as per your convenience. You can speak to our advisors to get more details about different EMI options as well.

If you end up missing a class, then you can contact our support team. Our team will further assist you in scheduling another class for the same topic so that you can catch up with the rest.

Also, all the sessions are recorded and shared with all participants in the LMS (Learning Management system). You can also refer to these recorded sessions for the missed class.

Intellipaat offers the facility of integrated labs that act as a platform for you to execute our industry-based projects. You will be guided through the steps so that you can easily deploy all the necessary tools and further execute the hands-on exercises successfully.

Intellipaat’s Machine Learning program provides material that comprises all the modules that are necessary to learn this popular technology. These pre-recorded video lectures and material are extremely effective as they allow you to complete the whole program at your own pace and take your time to learn the concepts thoroughly.

You can speak to our advisors for detailed information about ML, and they will help you select the best-suited one for you based on your skill set and work experience.

After successfully completing the entire program and executing all the given industry-based exercises and projects, you will receive the ML certificate from Intellipaat.

After completing this certification training, you will be awarded the certificate from us, which is valid for a lifetime.

Intellipaat’s certificate is recognized by over 500 top MNCs across the world, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.

As a part of our online certification training, we provide practice tests and assignments that will help you prepare for real-life examinations and jobs. These tests also let you assess yourself on what you have learned and how much you have grasped.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

View More

Talk to us

Find Machine Learning course online in Other Regions

Sydney and Australia

Recommended Courses

Select Currency