About Machine Learning Training Course Online
Our live instructors majorly focus on providing both theoretical and practical knowledge to the candidates so that they can clear the Machine learning -Data Science certification exam From IBM without any hassle. This live training session builds all the technical skills related to machine learning so that you can get placed in top sectors like IT firms, Data Science, Software development companies, Artificial Intelligence and so forth. After passing the certification exam, you can get a reputed job with an average salary of $134,293 per annum. We will help you learn the efficient use of machine learning algorithms, time series modeling, and concepts of regression, classification, and much more. So, stop thinking and enroll in Machine Learning training course in Toronto today only.
Enroll yourself for Machine Learning Certification Training Course in Toronto to gain extensive exposure to data science, machine learning, artificial intelligence, and deep learning. This course offered by GangBoard is curated by the industry experts to deliver comprehensive knowledge to the aspirants who want to attain mastery over this technology. Our highly trained instructors would make you an expert in machine learning and other concepts related to it. Throughout this instructor-led training course, the candidates would be under the supervision of experienced trainers. Our prime aim is to help all the aspirants understand how machine learning can be utilized efficiently to bring the technical perspective at the workplace. Upon the successful completion of this Machine learning training program, the candidates can land of their dream job in any industry. So, why wait? Join this training and secure your career.
What are the objectives of the Machine Learning Course in Toronto?
The major objective of this Machine Learning online course in Toronto is to provide in-depth knowledge to the candidates about machine learning. The candidates would learn all the vital roles played by machine learning engineers and data scientists. Upon completion of this course, you will be all prepared with the extensive knowledge and hands-on practical skills that are necessary for clearing the certification exam of machine learning. Here are the other major objectives of this course:
- Learn to work on important technologies of both machine learning & artificial intelligence
- Extensive knowledge about Natural Language Processing, Deep Learning, and Reinforcement Learning.
- Development of special skills in predictive analytics using Machine learning and Deep Learning algorithms.
- Practical implementation of methodologies and techniques in real-world projects.
What will you learn in this Machine Learning Certification Course?
GangBoard’s machine learning certification training course in Toronto is specially designed for the candidates who want to attain mastery over machine learning concepts. These are some of the highlights of this live training course in Toronto.
- Basic and advance knowledge about the methodology of machine learning.
- Comprehensive theoretical knowledge about various machine learning aspects.
- Practical mastery over the machine learning principles, algorithms and other applications of machine learning.
- Convolutional Neural Networks
- Implementation of machine learning solutions and algorithms in various industries.
- Knowledge about the different heuristic and statistical aspects of machine learning technology.
Who should take up this Machine Learning Training Course?
There is a very huge demand for skilled machine learning engineers across various industries. This machine learning course in Toronto is well-suited for all the aspirants who want to enhance their IT skills. We recommend this Machine Learning training course for the following professionals in particular:
- Business Analysts
- Machine Learning Engineer
- Data Scientist
- Product Analysts
- Analytical professionals
- Experienced professionals who want to harness machine learning
What are the prerequisites for taking this Machine Learning Course?
Particularly, there are no special prerequisites for taking up GangBoard’s instructor-led machine learning course in Toronto. But the following are some of the recommended things that would make this course easier for the participants:
- Understanding of Python programming
- Good knowledge of mathematical and analytical skills
- Essential concepts of statistics for data science
What are the job opportunities after the completion of the Machine Learning Course in Toronto?
This placement-oriented machine learning course in Toronto offers a very promising career to all the candidates. Upon the successful completion of this course, the participants can get their dream job in any industry. There is no upper limit to the salary of machine learning experts in the top companies. However, one can easily earn an average salary of $134,293 per annum. Below mentioned are some of the professions that you can enter after this course:
- Software Engineers
- Software Developers
- IT Professionals
- Data Professionals
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
- Basics of Statistics & Linear & Logistic Regression
- Data Mining: Clustering techniques, Regression & Classification
- Anova & Sentiment Analysis
- Data Mining: Decision Trees and Random Forest
- Project work
Upcoming Batches for Machine Learning Training Course Online
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 BatchCourse Syllabus of Machine Learning Certification Training
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 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 ReviewsKabashini
Fresher
This is my first experience of online learning. I have taken “Machine Learning Training” from GangBoard. The instructors are knowledgeable and very helpful. Training materials were well organized and provided good case studies. Overall, it is was a great learning experience from GangBoard trainers and I truly recommend GangBoard to anyone looking for any online courses.
Nivas
Fresher
I have taken “Machine Learning Training in Toronto” from GangBoard. It was a great learning experience. The instructor was well experienced in the topic, had dealt the topics as simple as possible for the learners to learn and was ready to answer any queries. The content of the course is good and vast enough to get exposed to various algorithms in Machine Learning. The support provided by GangBoard is amazing as it is 24/7 and has received a response to the queries in a short time.
Yamini
Fresher
I took a class for Machine Learning Training in Toronto from GangBoard with expert trainers. GangBoard is the only online training platform in which we have 100% support with a lot of patience and best-experienced instructors, the design of course content is awesome. Thanks to my trainer and GangBoard.
Sulaiman
Fresher
I Underwent Training for Machine Learning in Toronto and I am impressed by the quality of the training and concepts being covered in the course. The trainer was able to explain every concepts in detail. Definitely worth joining the course for all Machine Learning enthusiasts.
Pradeep
Fresher
I took Machine Learning Training in Toronto from GangBoard. I would like to extend my appreciation for the amazing support given by GangBoard Team. It only goes to show how dedicated they are in wanting to achieve the best for the learning professionals. The training met its goals. The Hard work of Trainer’s and support was paid off and I am truly grateful for learning from GangBoard.
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