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Machine Learning Training & Certification

  • Embrace the machine learning concepts with JanBask Training to develop skills that are vital to start a career as a Machine Learning Engineer or excel career growth in the current one.
  • Gain end-to-end practical knowledge of machine learning concepts like supervised & unsupervised learning, algorithms, regression, time series modeling, and a lot more to qualify the competent Machine learning certifications and walk on a path of an emerging career.

Next Class Begins in 8 days - 27 Sep 2020

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Why Online Machine Learning Certification?

The Machine Learning certificate course 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)

Thriving Career Opportunities - What and Where!

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Become that Machine learning expert who helps enterprises draw meaningful predictions from data!

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IT

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Healthcare & medicine

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Banking &
Finance

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Transportation/Freight

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eCommerce

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Media &
Entertainment

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NPO

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Financial
Services

Machine Learning/AI Engineer

Data Scientist

Software Engineer

Deep Learning Engineer

Instructor-led Live Online Machine Learning Classes


Starting
Duration
Price

27 Sep

WEEKDAY - Filling Fast

6 Weeks

09.00 - 10.30 PM EST

USD 649

USD 552

Flat 15% Off

18 Oct

WEEKDAY

6 Weeks

09.00 - 10.30 PM EST

USD 649

08 Nov

WEEKDAY

6 Weeks

09.00 - 10.30 PM EST

USD 649

29 Nov

WEEKDAY

6 Weeks

09.00 - 10.30 PM EST

USD 649

USD 454

Flat 30% Off

Early Bird Discount

Easy Installments

Enroll Now and pay Later (on request)

Detail
WEEKDAY - Filling Fast

27 Sep


6 Weeks

09.00 - 10.30 PM EST

USD 649

USD 552

Flat 15% Off

Enroll Now
WEEKDAY

18 Oct


6 Weeks

09.00 - 10.30 PM EST

USD 649

WEEKDAY

29 Nov


6 Weeks

09.00 - 10.30 PM EST

USD 649

Easy Installments

Enroll Now and pay Later (on request)

Not Sure Which Machine Learning Class to Join?  

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 Online 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 of the Machine Learning Course.

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