Master in Machine Learning Course

(5.0) G 4.5/5 f 4.5/5
Course Duration

48 hours

Live Project

02

Certification

Industry recognized

Training Format

Online/Classroom/Corporate

images

8000+

Certified Learners

15+

Years Avg. faculty experience

40+

Happy Clients

4.5/5.0

Average class rating

ABOUT MASTER IN MACHINE LEARNING COURSE


An exciting branch of Artificial Intelligence, this Machine Learning certification online course will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field. Our Machine Learning course will help you master the skills required to become an expert in this domain. Master skills such as Python, ML algorithms, statistics, supervised and unsupervised learning, etc. to become a successful professional in this popular technology. Our Machine Learning certification training comes with 24/7 support, multiple assignments, and project work to help you gain real-world exposure. If you are willing to become a master in ML then let's explore the concepts of Machine Learning and understand how it’s transforming the digital world.

MASTER IN MACHINE LEARNING COURSE OVERVIEW


We offer an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling in our Machine Learning online course.

  • Acquire expertise with 25+ hands-on exercises
  • Real-life industry projects with integrated labs
  • Assigned & exclusive mentoring sessions from industry experts
  • Instructor-led training with certification

Advantage:-

Market value of machine learning domain is to be expected to reach about $8.81 Billion by 2022, as because its growth rate is 44.1-percent. The demand for machine learning engineers is going to be grown by 60% which is indicated by the increased adoption of Machine learning among companies.

Instructor-led, Live & Interactive Sessions


Duration
Mode
Agenda
48 Hours
Online (Instructor-led)
Machine Learning

Course Price at

49,999/-



[Fixed - No Negotiations]



How we prepare you


Machine Learning

Upon completion of this program you will get 360-degree understanding of Machine Learning. This course will give you thorough learning experience in terms of understanding the concepts, mastering them thoroughly and applying them in real work environment.

Hands-on experience in a live project

You will be given industry level real time projects to work on and it will help you to differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms.


Unlimited Mock Interview and Quiz Session

As part of this, You would be given complete interview preparations kit, set to be ready for the Machine Learning. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSchool's Machine Learning learners worldwide.

Agenda of the Master in Machine Learning CourseDownload Curriculum


  • Introduction to Machine Learning(ML)
  • Linear Regression & Supervised Learning
  • Logistic Regression & Classification
  • Decision Tree and Random Forest
  • Support Vector Machine (self-paced) & Naïve Bayes
  • Text Mining (self-paced) & Natural Language Processing
  • Deep Learning Introduction
  • Time Series Analysis (self-paced)

  • Requirement of Machine Learning
  • Well Introduction to Machine Learning
  • Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning,
  • Machine Learning with Python, and the other applications of Machine Learning(ML)
  • Will be Introduced to supervised learning and the other types of supervised learning, like regression and classification
  • Will be Introduced to regression
  • Simple linear regression
  • Multiple linear regression and assumptions in linear regression
  • Math behind linear regression
Hands-on Exercises:
  • Implementation of linear regression from scratch in Python
  • Using Python library Scikit-Learn to perform simple linear regression and multiple linear regression
  • Implementation of train–test split and predicting the values on the test set
  • Introduction to classification
  • Linear regression vs logistic regression(Difference)
  • 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:
  • Implementation of logistic regression from scratch with Python
  • Using Python library Scikit-Learn to perform simple logistic regression and multiple logistic regression
  • Building a confusion matrix to find out accuracy, true positive rate, and false positive rate.
  • Introduction to tree-based classification
  • Understanding a decision tree, impurity function, entropy, and understanding the concept of information gain for the right split of node
  • Understanding the concepts of information gain, impurity function, Gini index, overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning
  • Introduction to ensemble techniques, bagging, and random forests and finding out the right number of trees required in a random forest
Hands-on Exercises:
  • Implementing a decision tree from scratch in Python
  • Using Python library Scikit-Learn to build a decision tree and a random forest
  • Visualizing the tree and changing the hyper-parameters in the random forest
  • Introduction to probabilistic classifiers
  • Understanding Naïve Bayes and math behind the Bayes theorem
  • Understanding a support vector machine (SVM)
  • Kernel functions in SVM and math behind SVM
Hands-on Exercise:
  • Using Python library Scikit-Learn to build a Naïve Bayes classifier and a support vector classifier
  • Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering
  • Introduction to k-means clustering
  • Math behind k-means
  • Dimensionality reduction with PCA
Hands-on Exercise:
  • Using Python library Scikit-Learn to implement k-means clustering
  • Implementing PCA (principal component analysis) on top of a dataset
  • Introduction to Natural Language Processing (NLP)
  • Introduction to text mining
  • Importance and applications of text mining
  • How NPL works with text mining
  • Writing and reading to word files
  • Language Toolkit (NLTK) environment
  • Text mining: Its cleaning, pre-processing, and text classification
Hands-on Exercise:
  • Learning Natural Language Toolkit and NLTK Corpora
  • Reading and writing .txt files from/to a local drive
  • Reading and writing .docx files from/to a local drive
  • Introduction to Deep Learning with neural networks
  • Biological neural networks vs artificial neural networks
  • Understand the perception learning algorithm, introduction to Deep Learning frameworks, and TensorFlow constants, variables, and place-holders
  • What is a time series? Its techniques and applications
  • Time series components
  • Moving average, smoothing techniques, and exponential smoothing
  • Univariate time series models
  • Multivariate time series analysis
  • ARIMA model and time series in Python
  • Sentiment analysis in Python (Twitter sentiment analysis) and text analysis
Hands-on Exercise:
  • Analyzing time series data
  • The sequence of measurements that follow a non-random order to recognize the nature of the phenomenon
  • Forecasting the future values in the series
PROJECT

In Machine Learning Course a Participant will get total 5 real time scenario based projects to work on, as part of these projects, we would help our participant to have first hand experience of real time scenario based software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help our participants to visualize a real development environment, testing environment and production environments.

Interview

As part of this, You would be given complete interview preparations kit, set to be ready for the Machine Learning hotseat. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSchool Machine Learning learners worldwide.

OUR COURSE IN COMPARISON

FEATURES DEVOPSSCHOOL OTHERS
1 Course for Machine Learning
Faculty Profile Check
Lifetime Technical Support
Lifetime LMS access
Top 46 Tools
Mock Interviews after Training
Training Notes
Step by Step Web Based Tutorials
Training Slides
Training + Additional Videos

Requirement for this machine learning course is understanding of basic statistics and mathematics at the college level and familiar with python programing is also beneficial .One must understand the these fundamental courses including Python, for data science,Math refresher and statistic essential for data science before getting into machine learning

The online course of machine learning certification is very well suited for participants at the intermediate level including analytics manager, information architects, developers who are looking forward to becoming a data scientist , and graduates seeking a bright career in data science and machine learning.

MASTER IN MACHINE LEARNING CERTIFICATION

What are the benefits of "Machine Learning" Certification?

During this ML program, you will be engaged in various projects and assignments, which include real-world industry scenarios. Which will be very helpful to you and you can expedite your career effortlessly.You would be glad to know that our certification training is recognized all around the world.

MASTER IN MACHINE LEARNING COURSE FAQs

Because We provide the best Machine Learning training course that gives you all the skills needed to work in the domains of Machine Learning, Deep Learning, Data Science to give the professionals an added advantage. After the completion of the training, you will be awarded the Machine Learning certification. You can know more about us on Web, Twitter, Facebook and linkedin and make your own decision. Also, you can email us to know more about us. We will call you back and help you more about the trusting DevOpsSchool for your online training.

You will have the skills required to help you to land a dream job. Jobs that are ideal forMachine Learning trained professionals .The demand for machine learning engineers is going to be grown by 60% which is indicated by the increased adoption of Machine learning among companies.

We provide 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 algebra behind linear regression along with logistic regression, supervised and unsupervised learning, and more.
  • After successfully completing the lectures, you will be awarded a certificate, which holds merit in all around the world.
  • We provide lifetime access to videos, resources and their free upgrades to the latest version, and 24/7 learning support.

You will never lose any lecture at DevOpsSchool. There are two options available: You can view the class presentation, notes and class recordings that are available for online viewing 24x7 through our Learning management system (LMS). You can attend the missed session, in any other live batch or in the next batch within 3 months. Please note that, access to the learning materials (including class recordings, presentations, notes, step-bystep-guide etc.)will be available to our participants for lifetime.

We offer 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

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

We actively provide placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with many MNCs from around the world. We also help you with the job interview and résumé preparation as well.

Machine Learning is basically the process to collect real-world data, collect 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 which also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

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.

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  • Debit card/Credit card
  • Xoom and Paypal (For USD Payments)
  • Through our website payment gateway

If you are reaching to us that means you have a genuine need of this training, but if you feel that the training does not fit to your expectation level, You may share your feedback with trainer and try to resolve the concern. We have no refund policy once the training is confirmed.

Our fees are very competitive. Having said that if the participants are in a group then following discounts can be possible based on the discussion with representative.

  • Two to Three students – 10% Flat discount
  • Four to Six Student – 15% Flat discount
  • Seven & More – 25% Flat Discount

DevOpsSchool provides "Master in Machine Learning Course" certificate accredited by DevOpsCertificaiton.co which is industry recognized and does holds high value. Participant will be awarded with the certificate on the basis of projects, assignments and evaluation test which they will get within and after the training duration.

DEVOPSSCHOOL ONLINE TRAINING REVIEWS

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Abhinav Gupta, Pune

(5.0)

The training was very useful and interactive. Rajesh helped develop the confidence of all.


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Indrayani, India

(5.0)

Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.


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Ravi Daur , Noida

(5.0)

Good training session about basic Devops concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.


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Sumit Kulkarni, Software Engineer

(5.0)

Very well organized training, helped a lot to understand the DevOps concept and detailed related to various tools.Very helpful


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Vinayakumar, Project Manager, Bangalore

(5.0)

Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.



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Abhinav Gupta, Pune

(5.0)

The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.


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