Machine Learning

Content Provider

iNURTURE

Course Level

Intermediate

Mode Of Delivery

Self-Paced

Duration

40 hrs

Certification By

iNURTURE

Course Validity

Valid for 6 months post activation

Learning Resources

Videos Easy, Accessibility, Certification
  • 1,800/- 1599/-
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Description

Machine learning is the science of getting computers to act without being explicitly programmed. Instead of writing a code, you feed data to the generic algorithm, and it builds the logic based on the data provided. Machine learning algorithms allow for computers to train on data inputs and use statistical analysis in order to output values that fall within a specific range.



This Course



In this course, you will go through the basic concepts of machine learning, Python and regression. Further, this course will explain detailed information regarding machine learning as a method of data analysis that automates analytical model building.



Learning Outcomes




  • Understand the different machine learning techniques and its application

  • Understand the importance of assumptions in estimating the parameters in simple linear regression analysis.

  • Understand the importance of simple linear regression in predicting new observations

  • Understand the important multiple linear regression in predictive techniques and its assumptions.

  • Apply the non-linear model for the new observation predictions and its importance in business.

  • Understand the effect of model assumptions in estimating the coefficients in multiple linear regression analysis.


Curriculum

Module 1




  • Introduction to Python

  • Numpy Basics

  • Pandas Basics



Module 2




  • Matplotlib basics

  • Seaborn basics



Module 3




  • Introduction to Machine Learning

  • Data Preprocessing

  • Creating validation rules



Module 4




  • Introduction to Regression

  • Regularized Regression

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 5




  • Introduction to Classification

  • Regularized Classification

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 6




  • Introduction to Decision Tree

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 7




  • Introduction to Random Forest

  • Auto selection of parameters

  • Bagging and Boosting Models

  • Evaluation of best models

  • Model representation



Module 8




  • Introduction to SVM

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 9




  • Introduction to Neural Network

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 10




  • Introduction to Unsupervised Learning

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 11




  • Introduction to Dimension Reduction

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation



Module 12




  • Introduction to Nearest Neighbors

  • Auto selection of parameters

  • Evaluation of best models

  • Model representation


Key Features


  • 12 well-structured modules

  • 12 Explanatory Videos

  • Certificate of Completion 


Career Opportunities

After successfully completing this course, you can look for opportunities as:




  • Data Architect

  • Data Scientist

  • Data Mining Specialists

  • Cloud Architect

  • Cyber Security Analysts


Certification

After completing this course and successfully passing the certification examination, the student will be awarded the “Machine Learning” certification.



If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'.




Who Should Attend


  • Engineering and IT students

  • Graduates with a programming background


Frequently Asked Questions

Where can I find courses on the Platform?

After login to KRACKiN(www.krackin.com), you can find courses on the dashboard which are segregated as skill courses, career tracks and also Annual Membership.consisting of 75000 + courses. You can enrol to any of the courses available by selecting the ‘Buy Now’ button.
Can I search courses domain wise on the platform?

Yes, Skill courses and Annual Membership plans are segregated domain wise. You can enter your domain and search for the desired courses.
Is online classes available for all the courses on KRACKiN?

No, online classes are not available for all courses on KRACKiN. Courses are designed as self- paced learning courses supported by videos, PPTs and practice quizzes etc. are provided for easy understanding of the students.
Are the course certificates valid?

Yes, the certificates are valid across all the sectors in the Industry.
Can I access your courses on Mobile device?

Yes, you can access the courses on your mobile browser.
Can my course access be extended?

We recommend you complete your assigned courses within the stipulated time as we do not have the provision to extend the course validity.
How to get my certificate after completing the course?

After the completion of all the given modules, the certificate will be auto generated by the system.

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