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Machine Learning Training Cambridge

  • Learn the machine learning concepts with JanBask Training to develop skills that are essential to start a career as a Machine Learning Engineer Cambridge 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.

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

Next Class Begins in 10 days - 31 May 2024

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Why to go for ML training certification?

Let’s move ahead and have a close look as to why certification of Machine Learning Training courses Birmingham is a must need.

#1

Machine Learning is the number 1 AI platform and a growing career field.

41%

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

Salesforce Growth

You Should Join Our Classes If You Are:

  • Just starting off & aren’t sure where to start from
  • In an established role but need to dive deep
  • Looking to brush up your skills & master the course
  • Willing to get better in your current or new job

$1 Billion

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

225%

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

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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Manufacturing

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Banking & Finance

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eCommerce

Congnizant

Supermarket

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Manufacturing

Machine Learning/AI Engineer

Data Scientist

Software Engineer

Deep Learning Engineer

Some Hilarious & Concealed Facts About Cambridge

  • Cambridge is home to one of the oldest universities in the world, but it could also be called the birthplace of football as we know it.
  • The University of Cambridge is over 800 years old, and some of its rules reflect that.
  • The university library has over 29 million books and receives a free copy of every book published in the UK.
  • People associated with Cambridge University have won 89 Nobel Prizes (well above Oxford’s 58!) And 29 of those are in physics.
Cambridge is an attractive city. It has cultural facilities you might expect to find in a major regional city many times its size, especially for music. There are plenty of places to eat and drink, with some good pubs and a couple of seriously good restaurants.
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Instructor-led Live Online Machine Learning Classes


Starting
Duration
Price

calendar-icon131 May

WEEKDAY - Filling Fast

6 weeks

USD 1499

USD 1274

Flat 15% Off

calendar-icon112 Jul

WEEKDAY

6 weeks

USD 1499

calendar-icon123 Aug

WEEKDAY

6 weeks

USD 1499

calendar-icon104 Oct

WEEKDAY

6 weeks

USD 1499

USD 1199

Flat 20% Off

Early Bird Discount

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Easy Installments

Detail
WEEKDAY - Filling Fast

calendar-icon131 May


6 weeks

USD 1499

USD 1274

Flat 15% Off

Enroll Now
WEEKDAY

calendar-icon112 Jul


6 weeks

USD 1499

WEEKDAY

calendar-icon104 Oct


6 weeks

USD 1499

yel-icon1

Easy Installments

Not Sure Which Machine Learning Training Cambridge 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 & Machine Learning: Unsupervised Learning

    • 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 & Statements Loops

    • 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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Machine Learning Training Cambridge Corporate Training

Corporate Training Program

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.

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JanBask Training’s Job Oriented and Certification Focussed Training

Experience Our Machine Learning Certification Training Journey!

  • Introduce yourself to the concepts, principles and working knowledge of Machine Learning
  • Understand the real world scenarios with real-time job oriented projects and case studies
  • Learn from World Class Trainers who are one amongst the top rated working IT Professionals
  • Clear your certifications while we make you ready for the huge job market present out there

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