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Machine Learning Training & Certification

Our Machine Learning training will help you to develop all necessary skills that are considered vital to start a career as a Machine Learning Engineer. The certification course will help you in gaining in-depth knowledge of various machine learning concepts like supervised learning, unsupervised learning, algorithms, vector machines, etc. through real-life use cases and project-based learning.

Next Class Begins in -1 days - 15 Dec 2019

Instructor-led Machine Learning training

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Project-based Machine Learning Training

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Why Online Machine Learning Certification?

The certification training will help you in shaping your career and leverage the growing demand for certified machine learning professionals. Let us have a quick look at the most compelling facts that make Machine Learning certification so popular these days.

#1

AI platform and a growing career field

$137K+

An Average salary taken by skilled Machine Learning Professionals.

$59.8B

ML software market will grow from $1.4 billion in 2016 to $59.8 billion by 2025.

$1B

Netflix saved $1 Billion in a year with the effective implementation of ML Algorithms.

41%

More than 41 percent of consumers believe that ML will make their life better

Do You Know Why Machine Learning Training is Necessary to Grow Your Career?

225%

ML algorithm has decreased the ‘click-to-ship’ time by 225%. (Forbes)

Instructor-led Live Online Classes – Machine Learning Certification


Upcoming Machine Learning Classes

Starting
Duration
Price
15 Dec

15 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
Discount on Call
25 Dec

25 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
04 Jan

04 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
14 Jan

14 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
Detail

15 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649
Discount on Call

25 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

04 Jan ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

14 Jan ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

Earn your Certificate

Best-in-class content by leading faculty & industry leaders in the form of videos and projects, assignments & live sessions.

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Machine Learning Training Course Roadmap

Here are the milestones that you will achieve with our Machine Learning Course Training

Introduction to Machine Learning & Python

    • Overview of Machine Learning.
    • Machine Learning types
    • What are the features of Machine Learning?
    • Machine Learning Categories & Technique
    • Automation tools in Machine Learning.
    • Analyze data using a machine learning algorithm.
    • Overview of Python.
    • Why is Python preferred for Data Science?
    • Installation of Python (basic commands)
    • Python Core Objects and functions
    • Number Object and operations
    • String, List & Tuple Object Operations
    • Set object and operations
    • None Object & Boolean Object
    • Data processing and Different data Structures

Machine Learning: Supervised Learning

    • Introduction to Machine Learning
    • Understanding Supervised Learning.
    • Linear Regression Theory
    • Supervised Learning Regression
    • Linear Regression
    • Multiple Linear Regression
    • Bias-Variance Trade-Off
    • Logistic Regression
    • K-Nearest Neighbors (KNN)
    • Simple Vector Machine (SVM)
    • Decision Trees
    • Bagging
    • Boosting, AdaBoost & XGBoost
    • Naïve Bayes Classifier

Machine Learning: Unsupervised Learning

    • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN
    • Dimensionality Reduction
    • Linear Discriminant Analysis
    • Principal Component Analysis (PCA)
    • Reinforcement Learning
    • Model Comparisons
    • Analysis Considerations
    • Clustering Animals
    • Customer Segmentation
    • Optimal Number of Clusters
    • Cluster-Based Incentivization
    • Image Segmentation

Time Series Forecasting

    • Introduction to forecasting
    • Steps in Time Series Forecasting
    • Data Manipulation and Cleaning
    • Time Series & Time-Series forecasting
    • Components of Time Series
    • Forecasting methods, Smoothing Methods
    • Trend and Seasonality detection and forecasting
    • Modeling Random Components, Modeling for stationary time series
    • ETS Model, auto-regressive Model, Moving Average Model, ARIMA Model, ETS Model
    • Importance of Association rules
    • Metrics of rules-Lift, Support, Confidence, Conviction
    • Apriority Model, Market Basket Analysis
    • Algorithm implementation and tuning, Applications

Statements Loops

    • What are the conditional statements?
    • How to use the indentations for defining if, else, elif block
    • What are the loops?
    • How to control the loops
    • How to iterate through the various objects
    • Sequence and Iterables objects
    • UDF Functions and Object Functions
    • What are the various types of functions?
    • Create UDF functions
    • Parameterize UDF function, through named and unnamed parameters
    • Defining and calling Function
    • The anonymous Functions - Lambda Functions
    • String Object functions
    • List and Tuple Object functions

Regular expression, Exceptional Handling & Debugging

    • What is Exception, Python Exceptions Handling
    • exceptions using try....except...else & Try-finally clause
    • Python Standard Exceptions
    • Understand on OOP & Object-oriented features
    • Creating Classes and Objects, Destroying Objects
    • Inheritance and Polymorphism
    • Overriding Methods, Data Hiding & Overloading Operators
    • pdb debugger & Pycharm Debugger
    • Assert statement for debugging
    • What are regular expressions?
    • The match and search Function
    • Compile and matching
    • Matching vs searching
    • Search and Replace feature using RE
    • Extended Regular Expressions

Machine Learning Training Course Roadmap

Course Curriculum

Learn what you'll get after successful enrollment

Machine Learnings Corporate Training

Machine Learning Online Corporate Training & Certification

Being the most popular AI platform, the Machine Learning Corporate Training will help your workforce to build a strong foundation and gain hands-on experience in building and implementing ML algorithms.

FAQs on Machine Learning Training

Machine Learnings FAQs

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Our well-defined learning path for Data Science promises:

"Unlimited job options for certified Data science professionals and get hired by leading MNCs worldwide successfully"

Our Reviews


6K + Learners | 1575 Reviews

Customer Reviews

Donny Papic

This course was amazing. Great way to learn some of the practical elements of data science. Coming from a maths background I really appreciated the fact that the theory behind the models we built was explained. A wonderful course and I am now about to enroll in other courses.

Jeffrey

This is a pretty good beginner course for anyone totally new to this field. Still, this course is a subset of Machine Learning A-Z course by the same team. Almost everything covered in this course is covered in that plus it is Hands-On in Python and R. This course basically provides a whole workflow of a data science project.

Chenaj Teja Potu

An absolutely great course. I'm new to learning about Data Science and Kirill's explanation really is step-by-step and makes no assumptions about what you should know. He explains why each action is done and how it applies to the real world. By the time you finish this course, you'll really feel much more capable of analyzing data.

Bosun Sogeke

Really this course is very helpful and I have learned a lot of new areas in data science especially data preparation, data cleaning and data analysis. I have learned about data modeling using logistic regression which will be very helpful in my day to day work.

Kim Adams

Well-structured and practice-oriented course, I would recommend it to anyone who wants to quickly get up to speed in such core Data Science skills as data visualization, ETL, modeling, and communication.

Gururaju BM

Loved this course. Lots of good material and the instructor is great. He keeps things exciting and keeps challenging. This course kind of made me realize what I like the most and pushed me towards a career path. Definitely, recommend it if you are anything like me- a fresher with little knowledge in data science and interested in pursuing a career in this field.

Nibha Thakur

I think the course did well in terms of the flow of topics and covering the fundamentals. It does add great value to beginners. However, I expected it to cover data mining and visualizations in more detail. Anyway, kudos to super data science team for their efforts.

Debmalya Datta

Very good course, love the outline of a broad topic which still has lots of practical examples. The speed is exactly right for a beginner, he doesn't dwell too long on any subject or details but instead is focused on necessary practicalities. Good job!

Prakash Shekade

This is a good survey course that has helped me not only develop the skills necessary to break into the data science field but also to understand how the entire process works as a whole. A big thank you to the JanBask team.

Buddhadev Choudhury

This is an amazing course. Probably the best introduction possible to data science. The instructor is speaking in a very understandable way and spend time on the useful details. Thanks.

Zakaria

Very good course. Gave me the information and tools that I was looking for in order to apply for Data Science jobs. Data Science A-Z course by is very nice & interactive course. I am very impressed with the instructor’s approach in explaining all the data science concepts with related examples.Thanks a million.

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