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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English |
Course Overview
Certificate course in Machine Learning using Python is presented by the National Institute of Electronics and Information Technology situated in Gangtok and provides an opportunity to all interested students who want to pursue the study of machine learning. The course duration is 60 hours. Students should spend 2-3 hours a day finishing this course. Certification for this course is offered by the NIELIT.
Candidates will learn valuable knowledge about machine learning which is required in both academic and professional lives. The program is designed and created by experienced faculty. Learners will learn about the data structures, introduction to python, NumPy and visualization.
They will gain insight into various aspects related to the python language. The program will teach them about the valuable skills and techniques required for being successful as well as will also help them to work professionally. Machine Learning using Python course materials and modules are created by the institute and it will give exposure to various aspects related to the python programming language.
The Highlights
- 60 hours course duration
- Learners should spend 2-3 a day to complete the program
- Presented by NIELIT
- Certification available
Programme Offerings
- Course materials
- Modules.
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
Eligibility Criteria
Education
Learners who want to learn through this curriculum should have a basic understanding of the programming language.
What you will learn
After completing the course students can acquire valuable knowledge on-
- The program may teach the learners basic concepts of python programming.
- Candidates can understand the modules in the python language.
- Learners will learn about data science and machine learning.
- The course can help the candidates to learn the necessary techniques required for being professional in the field.
- Students can understand the python pandas for file handling and about the CSV files.
- Individuals may understand the data frames for data analytics.
- Students can acquire information on visualization.
- The program can teach students about conditional statement loops and control flow.
- Applied machine learning and implementation will be taught through this curriculum.
- The enrolled candidates can learn about NumPy.
Who it is for
The Certificate course in Machine Learning using Python is highly beneficial for-
- Candidates who are interested in programming.
- Candidates who want to pursue their careers in this area.
- Working professionals who want to increase their knowledge.
Admission Details
You can follow the below-mentioned details.
Step 1: Click and visit: https://nielit.gov.in/sites/default/files/Gangtok/Machine%20Learning%20using%20Python_R0.pdf
Step 2: Select the desired program and read the structure carefully.
Step 3: Signup and create your account.
Step 4: After successfully creating your account login to your account.
Step 5: You can now access the course materials.
The Syllabus
- Importing CSV files
- Importing JSON
- Data frames for data analytics
- Python pandas library for file handling
- Skleam
- SciPy
- Test and validation matrix
- Training
- Feature matrix
- Machine learning types and applications
- Python NumPy library for n-dimensional array
- Importing various modules in python programme
- Function definition calling a function
- Dictionaries
- Sets
- Tuples
- Lists
- Strings
- Break and continue
- While loop
- For loop
- If else statements
- Operators
- Various data types
- It's programming constructs
- Python language
- Jupyter interface
- Introduction
National Institute of Electronics and Information Technology, Gangtok Frequently Asked Questions (FAQ's)
Students who want to take this course do not need any specific education for pursuing this course but basic knowledge about programming is required.
The enrolled candidate should have a basic understanding of the programming language.
The enrolled candidate should spend at least 60 hours pursuing this program.
Learners do not need any special software for pursuing this course.
Details about any kind of scholarship or financial assistance are not given
Required details about fees are not provided.
In case the candidates face any issues, they can contact the help desk.