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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

The Machine Learning using the Python program using the Digital India platform is offered by the NIELIT located at Gorakhpur-Extension Centre Lucknow. Since machine learning is a rapidly developing subfield of Artificial Intelligence, this course introduces the student to the world of Machine Learning starting with its basic concepts and techniques. The program runs for a duration of 6 weeks and covers several areas in the form of 3-hour sessions every day. 

As an online platform-enabled course, it is easily accessible through its portal and candidates can pursue this course in two different languages which are Hindi and English. The course is designed to use Python programming language as a tool for data analysis and solve problems of Machine Learning by employing its algorithms. The course offers mini-projects throughout its duration for student assessment. Before the final exam, the course offers a Question and Answers session for students to clear their doubts and seek clarifications.  This course offers a certificate of completion to all candidates who pass the requirements successfully. 

The Highlights

  • 6 weeks of course duration
  • 3-hour daily afternoon classes
  • Completely online course
  • The medium of instruction in both Hindi & English
  • 90 total instructional hours
  • Content access using E-Learning portal
  • Certificate of completion
  • Mini projects
  • Question and Answer session

Programme Offerings

  • Hands-on lab sessions
  • Live Classes
  • assessments

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesNational Institute of Electronics and Information Technology, Haridwar

Eligibility Criteria

Education

To enrol for this course, candidates are required to possess basic knowledge of programming. The candidate must also pursue or possess at least a Bachelor’s degree such as B.Sc/B.Tech/B.Sc-Msc in any stream. The candidate also is a graduate in statistics/commerce/science/mathematics with programming knowledge or NIELIT O-Level or A-Level. 

Certification qualifying details

Candidates must satisfy 75% minimum attendance and secure 50% in the online final test and will be awarded the certificate.

What you will learn

Programming skillsMachine learningKnowledge of PythonKnowledge of Data Visualization

In this Machine Learning using Python course:

  • Candidates will learn about the types and applications of machine learning. 
  • Candidates will learn to program in Python language and learn several of its data types, control structures, conditional statements, functions, etc. 
  • Candidates will explore oriented programming concepts in Python and create classes with inheritance and get to understand Python modules and packages. 
  • Candidates will explore and learn about the types of Machine learning problems such as regression, classification and clustering. 
  • Candidates will explore each problem by solving algorithms and deploy learning models for them. 
  • Candidates will learn about data exploration and visualization using modules and obtain knowledge of Ensemble learning.

Who it is for

Machine Learning using the Python program is to introduce candidates to the concepts and techniques in Machine Learning. 

The program is suitable for:

  • Any B.Tech/B.E/B.Sc-M.Sc student or graduate in any discipline with basic knowledge of programming. 
  • Any graduate in Commerce/Mathematics/Statistics/Science with NIELIT Level O/A or basic knowledge or programming.

Admission Details

The admission procedure for Machine Learning using the Python program is as follows

These steps are to be followed by the candidates:

Step1: The candidates must go through the structure and requirements for the course carefully in the link of the course: https://regn.nielitvte.edu.in/

Step2: The candidates must go to the Registration portal and click the “Apply Now” button

Step3: The candidates have to create login credentials by clicking the “Register” button. 

Step4: The candidates should fill up the application details and submit them.

Step5: After uploading the required documents, candidates can lock their profiles and pay the online fees.

Note: The course fee is inclusive of GST and other charges using any of the online payment methods such as Debit Card, Credit Card, Internet Banking, UPI, etc. 

The Syllabus

National Institute of Electronics and Information Technology, Haridwar Frequently Asked Questions (FAQ's)

1: How will this programme help Machine learning enthusiasts?

Candidates will learn to solve text classification problems and learn to access data in Python using the confusion matrix. Candidates will learn the mathematics behind algorithms. candidates will learn about clustering problem and the methods applying k-means clustering algorithm can you learn data exploration and visualization

2: Is there any previous programming language experience required for taking this course?

Yes. Candidates must have basic knowledge of programming language or NIELIT Level O/A for this course. 

3: Is this course offered only in English language?

No. This certificate program is offered in two languages, Hindi and English.  

4: What is the minimum criteria to earn this certificate?

Candidates must secure a minimum of 75% attendance and obtain a 50% percentage of marks in the final exam to be eligible for the certificate.

5: How can I access this course?

The candidates get an online e-portal for access to the course content.

6: Is this a weekend course?

No. This is a daily course offered during the week for 3 hours a day. 

7: What is the minimum computer/laptop requirement for e-Learning access?

The minimum computer or laptop requirements are

  • 2GB RAM
  • Good speed internet connection
8: What topics in Machine Learning will be covered in this course?

Topics discussed during this course are:

  • Python programming concepts
  • Machine learning problems
  • Machine learning algorithms
  • Machine learning models
  • Data exploration and visualization
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