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Machine Learning Course

Machine Learning Course

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Overview of Machine Learning Course

Machine learning is an area of computer science and artificial intelligence which includes the development of algorithms and software which can make predictions based on data.

We help you to learn complex theory, algorithms and coding libraries in a simple way. Our experts help to enhance the skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

Our course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Elysium Academy provides a Machine Learning Course will make you an expert in machine learning.

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Why learn Machine Learning?

The machine Learning training and certification courses focusing on creating system to used and learn from large sets of data. Our machine learning certificate guides participants through the technical approaches and latest advancements in artificial intelligence. Such as natural language processing, deep learning, predictive analytics, and algorithmic methods.

Learning Outcomes

Fundamentals of using data to train machines

Linear regression with multiple variables using R programming

Representation of an artificial neural network

Principle of component Analysis for data modeling

 

Course Outline

Our advanced professional certification programs and high-quality mock courses serve as a gateway for the learners interested in starting their career in the Global IT sector.
1CLASSIFICATION
  1. Machine learning basics
  2. Classifying with k-Nearest Neighbors
  3. Splitting datasets one feature at a time: decision trees
  4. Classifying with probability theory: naïve Bayes
  5. Logistic regression
  6. Support vector machines
  7. Improving classification with the AdaBoost meta-algorithm
2FORECASTING NUMERIC VALUES WITH REGRESSION
  1. Predicting numeric values: regression
  2. Tree-based regression
3UNSUPERVISED LEARNING
  1. Grouping unlabeled items using k-means clustering
  2. Association analysis with the Apriori algorithm
  3. Efficiently finding frequent itemsets with FP-growth

Exam Feature & Intro Video


Exam Number --
Tools Using Windows 2012/2016
Exam Duration 2 Hrs (34 questions)

Course Features

  • Robust Support

  • High-tech Lab

  • Proficient Faculties

  • Ample Experience

  • Live seminars

  • Reliable Certification

  • No 1: Masters

  • Unrelenting Dedication

  • From Top Level Industry

  • Personalized Learning

  • Placement assistance

  • Innovative Courseware

Pre-Requirement Skills

Skill Needs

  • Graph Theory80%
  • Multi Variant Calculus30%

Opening Hours

We are open to serve the learners from Monday to Sunday, during the business hours.
  • 8am - 8pm
  • 10am - 1pm

Content Include

  • Course Certificate
  • Course Material
  • Video Tutorial
  • Exam Guidance
  • Industrial Visit
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EA aims to impart high quality technical education to the learners, through our novel certified courses, innovative teaching methodologies and interactive sessions.

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