AI

Artificial Intelligence: Advanced Machine Learning

Students will improve their skills in this Course by building and deploying sophisticated machine learning solutions using popular open source tools and frameworks, as well as gaining practical experience running complex machine learning tasks.

 

10 Months

Duration

1st July 2022

Batch Start Date

10

No of Seats

500+ Hrs

Hours of Training

Course Description

In this course, you will work through a variety of advanced algorithm examples while also focusing on some visualisation options.
You will create systems that classify documents, recognise images, detect advertisements, and much more. You will learn how to use the open source API to extract features from categorical variables, text, and images; evaluate model performance; and develop an intuition for how to improve the performance of your model.

By the end of this course, you will have mastered all of the machine learning concepts required to build efficient models at work to carry out advanced tasks using a practical approach. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning. 

Key Highlights of Program

200+ Hours of Learning
15+ Case Studies, Assignments and Quizzes
Multiple hands-on sessions
High Performance Coaching(1:1)
Personalised Industry Based Training
Group Coaching Sessions
Mentorship Calls
Networking Opportunities
Expert Live Sessions
Mentorship Sessions,
Personalised Resume-Building Exercise 
On Job Training

Course Syllabus Details

Introduction 

  • What is Machine learning?
  • Learn and Understand Business Models
  • Machine Learning application
  • Introduction to Advance Python
  • Hands-on Sessions And Assignments for Practice  

Basic of Machine Learning 

  • Set up the environment
  • Classification
  • Regression
  • Transformers
  • Clustering 

Model Complexity

  • Introduction
  • Linear models for regression
  • Trees and Forests
  • Learning & Validation Curves
  • EstimatorCV Objects for Efficient Parameter Search 

Pipelines

  • Pipelines - Motivation
  • Pipeline Basics
  • Cross Validation With Pipelines
  • Using Pipelines with Grid-Search 

Imbalanced Classes & Metrics 

  • Default metrics
  • Classification Metrics
  • Precision - Recall tradeoff and Area Under the Curve
  • Built-In and custom scoring functions 

Model Selection For Unsupervised Learning

  • How to test unsupervised models?
  • Kernel Density Estimation
  • Model Selection For Clustering 

Handling Real Data 

  • Dealing with Real Data
  • OneHotEncoder
  • Encoding Features from Dictionaries
  • Handling missing values 

Dealing with Text Data

  • Text Data Motivation
  • Text Feature Extraction with Bag-of-Words
  • Text Classification of Movie Reviews
  • Text Classification continuation
  • Text Feature Extraction Hashing Trick
  • Vector Representations 

Out Of Core Learning 

  • Out of Core and Online Learning
  • The Partial Fit Interface
  • Kernel Approximations
  • Subsampling for supervised transformations
  • Out of core text classification with the Hashing Vectorizer 

Tech Covered

Additional Compulsory Specialization

Agile Training

This Agile and Scrum certification course will help you gain expert knowledge of Agile methodology and Scrum practices.Scrum, a subset of Agile, allows collaborative teams to deliver projects more efficiently by breaking them down into smaller chunks.

This course will assist you in becoming Scrum-qualified, boosting your ability to design and deliver high-quality products and implement Scrum concepts in the workplace.

In the Agile Training course, you'll learn:

  • Agile Scrum Concepts
  • Roles and Rituals
  • Scrum Practices
  • Scrum Planning
  • Scrum Estimations
  • Scrum Monitoring
  • Advanced Scrum Concepts
  • Scrum Overview

Who is this Course for

Candidates should have some experience with programming in general and working knowledge and practical experience

of Python

Nameyan Learning Advantage 

Change happens at a breakneck speed in the area of software development. Every day, new tools, apps, and products are introduced into the market, along with dozens of languages and frameworks to learn. With our high-quality Mobile and Software Development courses, Nameyan gives you the opportunity to achieve just that. 
Learning Support

  • Live interactive sessions with top industry experts covering curriculum and advanced topics
  • Personalised Industry Session with industry experts in small groups (of 10-12) to supplement programme curriculum with tailored industry-based learning. 

Practical Learning Approach

  • Technical experts monitor a live discussion forum for peer-to-peer doubt resolution.
  • Walkthroughs of industry-driven projects in the lab
  • Weekly doubt-clearing sessions in real time.

Career Assistance

  • Receive personalised feedback and mentoring from an experienced industry expert to help you achieve your goals.
  • After the programme, hire a dedicated career coach to help you track your career goals, coach you on your profile, and support you throughout your career transition journey.

Course Fees

There are no upfront costs to attend Nameyan; we only get paid when you do.
You pay us back 10% of your monthly income until you reach a $10,000 cap. 
$0 Upfront

You do not have to pay anything to join Nameyan, regardless of your country of residence or citizenship.

10% Income

After completing the programme and obtaining a job paying at least $1,000 USD per month, you pay Nameyan 10% of your monthly salary until you reach a $12,000 

There are more ways of paying your fees. please see all the available plans

Admission Process

Step 1

Complete the Application

Fill all the necessary details for the Application form. Once you fill that form we will get back to you.

Step 2

Appear for Assessment/Interview

Solve a few simple algorithmic coding challenges to demonstrate your ability to think like a software developer.

Step 3

Get shortListed & Block your Seat

If you successfully complete the previous steps, you will be invited to enrol as a full-time NAmeyan student.

Apply Now

FAQ's

1. What is the Course Eligibility Criteria ?

  • Bachelor's Degree in Computer Science or Information Technology
  • Communicate clearly and effectively in written and spoken English (Minimum B2 level)
  • Having Job Experience in relevant field is plus and will be given preference

2. What is the Selection Process?

To be eligible for selection, you must submit your application form. Our team of admission counsellors will review your form and get back to you if you make the cut.

3. What is the program fee?

There are no upfront costs to attend Nameyan; we only get paid when you do. You pay us back 10% of your monthly income until you reach a $12,000 cap. There are other Fee options available too. Please take a look at those.

View Fee Plans

4. What type of career support should I expect from this program?

Mentoring on how to create the best resume for a technology professional, emphasising technical and domain expertise. Interview preparation and interview mentoring by industry experts will also be provided.
Student profiles will be distributed throughout our corporate network.

5. What is the time commitment expected for the program?

At least Seven to Eight hours per day of time commitment is expected to be able to graduate from the program.

Let's get you started 

Demonstrate to us that you are a great team player who is committed to working hard to become a successful web developer. Every 5 weeks, a new cohort begins. You are welcome to apply from any country in the world!

Apply Now Contact Us
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