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| No of Team Members | 5 | 4 | 3 | 2 | 1 |
|---|---|---|---|---|---|
| Price per student | ₹ 1499 ₹ 1359 | ₹ 1624 ₹ 1449 | ₹ 1832 ₹ 1599 | ₹ 2249 ₹ 1899 | ₹ 3499 ₹ 2799 |
| Outside India? click here | |||||
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:
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.
| Features | Classroom Training | Online project based course |
|---|---|---|
| Doubt Clarification | 1 trainer to 40 students | Personal 1-to-1 session (Video/Chat) with our experts |
| Duration | 16 Hrs Fixed | 16 Hrs at your own pace (Complete within 45 days) |
| Venue | Fixed | Anywhere as per your convenience |
| Additional cost for student | Travel, Accommodation to reach the venue | No additional costs |
| Refund | Only before training program starts | Anytime if you don't like the course |
| Revision | Using study material in pdf format | See the video lectures/tutorials any number of times |
| Pause & Resume | Not possible | Pause and resume any number of times |
| Module Size | 2 hour lecture | 3 min videos which will allow you to take breaks |
| Hands-on session | 1 trainer to 40 students | High clarity videos showing clear steps which can be reviewed any number of times |
| Certification | Upon Completion | Upon Completion |
| Study Material | PDF format (Online) | Excellent Video based lectures and tutorials |
| Examination | Online at extra fee (Rs. 299) | Inbuilt in the course |
| Price | Rs. 1,500 per student | Rs. 1,499 per student (team of 5) |
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
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.
