Movie Recommendation using Machine Learning Online Project-based Course

Develop an ML model to recommend movie titles based on the user's viewing history

Will be given on completion

Doubts clarification:
1-to-1 Sessions with our experts on Skype/Chat.

Complete Before:
45 days from the date of enrollment
(takes 16-20 Hrs to complete)

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No of Team Members54321
Price per student ₹ 1499
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About Movie Recommendation using ML Project

In this course, you will learn how to use ML to recommend movie titles based on the user's viewing history, like how you get in Netflix!
You will learn about various machine learning algorithms and develop a machine learning model to recommend movie titles using Python language.
By developing this project you will learn about:

  1. Mean Squared Error Function
  2. Linear Regression & its types
  3. Update Function
  4. Clustering in Machine Learning
  5. KNearest neighbors

How to do the Online Course?

Learn and Develop Movie Recommendation using ML Project in 3 Steps

Login to our Online Learning Portal will be provided instantaneously upon enrolling. This Portal gives you access to video lectures, tutorials and quizzes required to develop your Movie Recommendation using Machine Learning project. As you complete the course your project will also be completed.

About Online Course


FeaturesClassroom TrainingOnline project based course
Doubt Clarification1 trainer to 40 studentsPersonal 1-to-1 session (Video/Chat) with our experts
Duration16 Hrs Fixed16 Hrs at your own pace (Complete within 45 days)
VenueFixedAnywhere as per your convenience
Additional cost for studentTravel, Accommodation to reach the venueNo additional costs
RefundOnly before training program startsAnytime if you don't like the course
Revision Using study material in pdf formatSee the video lectures/tutorials any number of times
Pause & ResumeNot possiblePause and resume any number of times
Module Size2 hour lecture3 min videos which will allow you to take breaks
Hands-on session1 trainer to 40 studentsHigh clarity videos showing clear steps which can be reviewed any number of times
CertificationUpon Completion Upon Completion
Study MaterialPDF format (Online)Excellent Video based lectures and tutorials
ExaminationOnline at extra fee (Rs. 299)Inbuilt in the course
PriceRs. 1,500 per studentRs. 1,499 per student (team of 5)

Course Structure

Module 1: What is Machine Learning

Learn: What is Machine Learning

Learn: Supervised vs Unsupervised Learning

Learn: Machine Learning Terminology & Pipeline

Learn: Tools for Machine Learning

Do: Installation of Anaconda

Do: Setting up a Jupyter Notebook

Do: Explore Jupyter

Review: What is Machine Learning

Module 2: Your First Machine Learning Model - Boston Housing

Learn: Boston Housing - Problem Description

Learn: Types of Data & Its Implications

Learn: Preprocessing of Data

Do: Import BH Data

Do: Data Visualization of BH Data

Do: Correlation between Target & Attributes

Review: Your First Machine Learning Model!

Module 3: Mean Squared Error

Learn: Errors & Types

Learn: Mean Squared Error

Do: Define MSE Function

Do: Calculate MSE for Sample Data

Review: Mean Squared Error

Module 4: Data Splitting & Accuracy of Model - Boston Housing

Learn: Testing & Training Data - Cross Validation

Do: Split the dataset

Review: Data Splitting & Accuracy of Model

Module 5: Linear Regression - Boston Housing

Learn: Linear Regression & its Types

Learn: Gradient Descent - Learning Rates

Learn: Programming logic - Update Function

Do: Update Function

Learn: Programming logic - Descent Function

Do: Descent Function

Learn: Programming logic - Model Training Visualization

Do: Model Training Visualization

Learn: Programming logic - Error Visualization

Do: Error Visualization

Review: Linear Regression

Module 6: Machine Learning Prediction - Boston Housing

Learn: Prediction & Validation

Learn: Programming logic - Prediction of Prices

Do: Prediction of Prices

Do: Train Model with Different Attributes & Predict

Review: Machine Learning Prediction

Module 7: Movie Recommendation System

Learn: Movie Recommendation - Problem Description

Learn: MRS - Problem Setup

Do: Download & Import Data

Module 8: MRS - Data Preprocessing

Learn: MRS - Data Visualization - Programming Logic

Learn: MRS - Data Processing - Programming Logic

Do: MRS - Data Vizualization - Movies

Do: MRS - Data Processing - Movies

Do: MRS - Data Vizualization & Processing - Users

Do: MRS - Create pivot table and sparse matrix

Do: MRS - Map Data - Movies to Movie ID

Module 9: MRS - Train the Model

Learn: K Nearest Neighbours

Do: MRS - Train the Model

Review: K Nearest Neighbours

Module 10: MRS - Evaluate Model & Predict

Learn: MRS - Search Movie Title - Programming Logic

Do: MRS - Search Movie Title

Do: MRS - Recommend Movies

Team Size and Certification

  • A team can have maximum of 5 members
  • All members will get logins
  • Certificate of Completion will be provided to each team member as soon as the member completes the course

All Skyfi Labs certificates come with a unique ID which can be verified online for authentication.


Anybody who has prior knowledge on Python and want to develop machine learning skills can take up this project-based course.

Why Roboversity?

  • Roboversity is a division of Skyfi Labs that develops courses with a focus on Electrical and Electronics Engineering disciplines.
  • Awards won by us:
    • 2nd Best Business Venture Award, Ideas, IIT Kanpur
    • 30 Most Promising Startups, Next Big Idea, IIM Bangalore
    • Runner-up, UnLtd India Growth Challenge
    • Limca book of records
  • Associated with industry and partnership with organizations transforming engineering education
  • Our courses are officially a part of IIT Delhi Syllabus and IIT Kanpur orientation programs
  • Experience of training students across 27 states in India and Dubai (Presence)
  • Improved performance of students in Campus Placements
  • A venture by IIT Kanpur alumni and funded by The Chennai Angels and Spark Capital

Have any concerns?

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Contact Details

Please feel free to contact us in case of any queries.
Phone: 18001237177 (10AM - 8PM; Mon - Sat)


Enroll Now
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Debit Card)
Try it Free
(First few chapters free)

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