• LOGIN
  • No products in the cart.

Machine Learning allows the computers to act without being explicitly programmed. Machine learning uses computers to predict future behaviours, outcomes, and trends by analysing from existing data.

Throughout the data science course [course_title], you will learn machine learning theory including the practical scenarios and hands-on experience building, validating, and deploying machine learning models. The course teaches you how to build and derive insights from these models using R, Python, and Azure Machine Learning.

Upon completion, you will get a solid understanding of the concepts and principles of Machine Learning.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: Microsoft

Course Curriculum

Before You Start
00:00
Module 1: Classification
Lesson 1: Introduction to Classification
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
Lesson 2: Building Classification Models
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
Module 2: Regression
Lesson 1: Introduction to Regression
00:00
00:00
00:00
00:00
00:00
Lesson 2: Creating Regression Models
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
Module 3: Improving Machine Learning Models
Lesson 1: Principles of Model Improvement
00:00
00:00
00:00
00:00
00:00
Lesson 2: Techniques for Improving Models
00:00
00:00
00:00
00:00
00:00
00:00
Module 4: Tree and Ensemble Methods
Lesson 1: Introduction to Decision Trees
00:00
00:00
Lesson 2: Ensemble Methods
00:00
00:00
00:00
00:00
00:00
00:00
Module 5: Optimization-Based Methods
Lesson 1: Neural Networks
00:00
00:00
00:00
Lesson 2: Support Vector Machines (SVMs)
00:00
00:00
00:00
Module 6: Clustering and Recommenders
Lesson 1: Clustering
00:00
00:00
00:00
00:00
00:00
00:00
00:00
00:00
Lesson 2: Recommenders
00:00
00:00
00:00
00:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

4.7

4.7
9 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

11 STUDENTS ENROLLED
©2021 Edukite. All Rights Resereved
Edukite is A Part Of Ebrahim College, Charity Commission
Reg No 110841