Machine Learning Certification Training Course Online
Machine Learning Certification Training by GangBoard is outlined to help you clear Machine Learning Certification. In this Machine Learning Training Course, you will learn about training data, clustering, classification, data modeling, neural networks, regression methods and so on with real-life case studies and hands-on projects.
About Machine Learning
Machine Learning Certification Training
GangBoard is one of the best Machine Learning Certification providers. Our Machine Learning Certification is recognized worldwide. Our trainers will not only help you to clear the Machine Learning Certification Exam. But they will also help you to ace interviews and land your dream job in one of the MNCs. We focus on quality and make sure you are satisfied with the services. GangBoard Certification is the logo of credibility and expertise. Our Certification signifies worth and competence in the industry.
Machine Learning Certification by GangBoard
Pursuing Machine Learning Certification from GangBoard has many benefits. GangBoard Machine Learning Certification is a logo for credibility and competence. Machine Learning Certification by GangBoard is also the easiest and less expensive way to your bright future. A Machine Learning Certificate will be granted by GangBoard after you complete the assessment based on your assignments, practicals, project work, and final exam. Machine Learning Certification by GangBoard is also available online. You can learn from anywhere and at any time.
GangBoard Certification is a readily and quickly recognized benchmark in the industry. There are different kinds of certifications available for Machine Learning. This Machine Learning Course offers three types of certifications. Certification of Machine Learning by top institutes such as GangBoard will help you stand out. Apart from that, Machine Learning Certification by AWS and Google is considered two of the best Certifications available. However, these Machine Learning Certifications have different objectives and target audience. Machine Learning Certification by Google and AWS also differ in price.
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 Certification 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 Machine Learning
Learning Objective: In this module, you will learn about the basic concept of Machine Learning. You will also learn about types of Machine Learning i.e. Supervised and Unsupervised Learning. You will gain an understanding of the applications of Machine Learning. Topics:
- Traditional Programming
- Introduction to Machine Learning
- Applications of Machine Learning
- Types of Machine Learning
- Machine Learning vs Artificial Intelligence
Hands-On:
- Foundational Machine Learning skills
- Python Machine Learning Skills
- Python libraries used in the implementation of Machine Learning ideas
Module 2 – Regression
Learning Objective: In this module, you will learn about the Regression Model of the Machine Learning Algorithm. This model represents the Supervised way of Machine Learning. You will also gain knowledge of linear and non-linear regression along with methods of model evaluation. Topics:
- Supervised Machine Learning
- Regression Machine Learning
- Simple Linear Regression
- Decision Tree
- Polynomial Regression
- Random Forest
- Applications of Regression Machine Learning
Hands-On: Implementation of Machine Learning Regression-Based Algorithm
Module 3 – Classification
Learning Objective: In this module, you will learn about the Classification Model of Machine Learning Algorithm. This also represents one of the Supervised Machine Learning strategies in Machine Learning. Classification models in Machine Learning are K-Nearest Neighbour, Support Vector Machines, Logistic Regression, Decision Trees. You will also learn about Model Evaluation. Topics:
- Classification
- Nearest Neighbor
- Support Vector Machine
- Boosted Trees
- Neural Network
- Linear Classifiers
- Applications of Classification Machine Learning
Hands-On: Implementation of Machine Learning Classification Based Algorithms
Module 4 – Unsupervised Learning
Learning Objective: In this module, you will learn about Unsupervised Machine Learning. Unsupervised Machine Learning is implemented without supervising machines in a specific way. Unsupervised Machine Learning involves clustering mechanisms such as K-Means Clustering, Density-Based Clustering, Hierarchical Clustering. Topics:
- Unsupervised Learning
- Clustering
- Hierarchical Clustering
- Independent Component Analysis
- K-means Clustering
- Applications of Unsupervised Learning
Hands-On: Implementing Unsupervised Machine Learning Algorithm
Module 5 – Natural Language Processing
Learning Objective: In this module, you will learn about programming computers to analyze natural language data. You will gain an understanding of communication with an intelligent system. You will also understand the role of NLP in Machine Learning. Topics:
- Natural Language Processing
- Steps in Natural Langage Processing
- Popular NLP techniques
- Applications of NLP
- Text Summarization
- Sentiment Analysis
- Aspect Mining
- Modeling
Hands-On: Build an NLP based Application using Python modules
Module 6 – Deep Learning
Learning Objective: In this module, you will learn about the techniques used to mimic neurons in the brain. You will learn about deep neural networks. You will learn how to train neural networks. Topics:
- Deep Learning
- Use of deep learning in Machine Learning
- Introduction to TensorFlow
- Convolutional Neural Network
- Recurrent Neural Network
Hands-On: Applying strategies of deep learning in Machine Learning Deep Learning in Python
Module 6 – Case Studies
Case Study 1: Representing an algorithm as a tree (Decision Tree) Learning Objective: You will learn how a tree has many purposes in real life. You will also understand the ways it helps in representing information in a concise and clear way through various examples such as Retail Store.
Case Study 2: Logistic Regression Learning Objective: You will learn how analysis helps in decision making with binary variables. It is used to explain the relationship between a dependent and ordinal binary variable. You will also learn about its use in biological sciences. Real-life examples such as banking, credit risk estimation, etc. will be taken into consideration.
Case Study 3: Linear Regression Learning Objective: Linear regression is used to explain the relationship between dependent and independent variables. You will learn how it helps in finding a linear relationship between given variables and how the change in one affects the others. The Scikit library of Python will be used to understand the algorithm.
Case Study 4: Principal Component Analysis Learning Objective: Principal Component Analysis is used to convert correlated variables into principal components. It helps in understanding the present structure of data and the parts where the most variance is found. Behavioral Data will be used as a case study to be discussed.
Case Study 5: Predictive data mining using Random Forest Learning Objective: The creation of many decision trees is the basis for the Random Forest algorithm. You will understand how many trees help in making a better decision as compared to a single tree. Every single tree samples from the data set, as a result, creating different trees.
Case Study 5: K-means Clustering Learning Objective: One of the simplest yet powerful unsupervised learning algorithms, k-means clustering, works with clusters. Points are randomly initiated in the data and assigned to the centroids. This algorithm helps in observation analysis without any prior observations.
Module 7- Projects
Project 1: Sales Prediction at BigMart Learning Objective: Using Regression Algorithm, build a model to predict a year’s sales based on different outlets. For different stores and products, different attributes will be taken into consideration. An understanding of the properties of stores and products helps in increasing the overall sales. Concepts of Regression Machine Learning with Python Libraries will be applied in the project.
Project 2: Sentiment Analysis Model Learning Objective: To understand the trends in the market, data mined from social media platforms can be put to great use. It helps in business, marketing, and branding. This project aims at making you understand the role of classifiers too, in-depth. This model will help the user understand what the world is engaging in more. It helps in the insightful analysis.
Project 3: Digit Classification Learning Objective: Digit classification model comes to play where it is not easy to work with image data. It usually happens with flat relational data. This project will help you take up some complex projects such as image classification in the future.
Project 4: Stock Price Predictor Learning Objective: For data scientists interested in finances, this project will pave the way along with helping you to understand how machine learning can help you decide on the stocks. Different types of data used in the project will be prices, indices, etc. By strategically thinking about trading strategies you will build a model making predictions on new data.
Other Project Ideas 1: Uber Customer Support
Other Project Ideas 2: Brain Barbie Students are encouraged to come up with their own innovative Project ideas too.
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
Request a CallTrainer Profile of Machine Learning Certification Training
Trainers of Machine Learning Training Course at GangBoard are experts from industries. They have worked in the industry for more than 12 years. They understand what an organization and market needs. They will help you learn and understand the complex topics of Machine Learning in a very easy manner. Training classes are conducted in a student-friendly environment where students are encouraged to ask questions. They will help you prepare for the certification exam and earn yourself Machine Learning certification.
The selection process of trainers of GangBoard
GangBoard trainers have gone through a screening process. We make sure that the training course at GangBoard provides an excellent learning experience to the learners. Hence, trainers had gone through many rounds of the selection process. They have proved their worth of having competence and knowledge for the training courses.
Meet our Course Advisor
We at GangBoard understand that picking up the right training course is a daunting process for anyone. It requires complete and consistent knowledge about the subject, scope, and trend in the market. GangBoard has worked with Karthick for many years. He possesses skills, expertise and required a level of authority. He has been a go-to guide for our students, helping them select the right training classes, career, and programs for career growth. With 10+ number of years experience in Machine Learning, he/she understands the present career options and concepts popular in the industry.
Program Features
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.
10000+ old students to believe
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.
FAQ
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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
Machine Learning Certification by AWS: If you want to specialize in application development AWS offers Machine Learning Certification for skills you pick up. Price ranging $300, AWS Machine Learning Certification is very popular among those already having experience in Machine Learning. This Certification allows you to concentrate on in some specialized area. How to apply for AWS Machine Learning Certification: GangBoard Trainers will help you with the registration process as well as certification exam preparation. You can also go through their website to clarify your doubts: https://aws.amazon.com/certification/faqs/
Machine Learning Certification by Google: Data and Machine Learning by Google will cost $200 for certification and provide you GCloud knowledge to boot. If you are interested in big data solutions, Google Certification is for you. How to apply for Google Machine Learning Certification: Our Trainers at GangBoard will be there to guide you through the process. You can visit their site for more knowledge on the same: https://cloud.google.com/certification/data-engineer
Machine Learning Certification Training USA Reviews
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Course Reviews
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GangBoard is one of the best places to go to when you are not able to find the curse of your choice in your college or university. Trainers at GangBoard helped me pick up fresh ideas easily and apply them in real-world scenarios.
Gowtham
Fresher
A big thanks to GangBoard, I was able to add the most demanded skills to my resume and stand out in the crowd. It helped me in my job search and landing the job of my dreams.
John
Fresher
I was a little hesitant because I don’t consider myself talented when it comes to technical skills. Mentors at GangBoard made difficult topics understandable. They always helped me in finding out where I could improve. Thank you for spending extra hours and helping me pass the certification.
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Addition Info Machine Learning Certification Training
Placement / Job Assistance in Machine Learning Training
Machine Learning offers many job options for proficient Machine Learning Engineers. GangBoard Machine Learning Training Course will help you get placed in a good company with a high package. In the placement program by GangBoard for Machine Learning Engineers, student-recruiter interactions are organized. There will be many companies lining up for you during Placement Programs in Machine Learning Course Training. During job assistance, you will learn how to deliver the best interviews. Our trainers will help you with your resume building. You will also receive learning material specifically meant for Machine Learning interviews.
Machine Learning Hands-on Practices
During Machine Learning Course, you will work on Machine Learning assignments. You will learn how to apply Machine Learning in real life. GangBoard helps you understand the Machine Learning concepts with hands-on examples. You will also work on real-world Machine Learning case studies in this online course. It will help you to learn about real-time applications of Machine Learning such as training datasets etc.