dots bg

MACHINE LEARNING

The SmartED Machine Learning Program is a comprehensive two-month course tailored for aspiring machine learning practitioners. In the first month, participants engage in interactive training sessions led by industry experts, covering fundamental concepts, algorithms, and tools in machine learning. The second month emphasizes practical application through hands-on projects, where learners collaborate on real-world challenges, including minor and major projects. Successful completion of the program awards participants with a course completion certificate and an internship completion certificate, making it an excellent opportunity for those looking to advance their careers in machine learning.

4
(1 rating)
Course Instructor SmartED Innovations

₹4130.00 ₹5500.00 25% OFF

dots bg

Course Overview

Duration: 2 Months

Format: Recorded Training & Hands-On Projects

 

Month 1: Training with Industry Mentors

  • Objective: Gain foundational knowledge and insights from experienced professionals.
  • Format: A combination of live sessions and recorded content, providing flexibility for participants.

 

Key Components:

  • Live Sessions: Interactive lectures and Q&A with top industry mentors covering essential topics relevant to the field.
  • Recorded Content: Access to pre-recorded sessions for flexible learning at your own pace.
  • Topics Covered: Current industry trends, best practices, technical skills, and soft skills development.

 

Month 2: Hands-On Project Experience

  • Objective: Apply learned concepts through practical experience.

 

Key Components:

  • Live Research and Development Projects: Participants will engage in both minor and major projects, working on real-world challenges.
  • Collaboration: Work in teams to foster collaboration, problem-solving, and innovation.
  • Mentorship: Continuous support and guidance from industry mentors throughout the project phase.

 

Certification

Upon successful completion of the program, participants will receive:

  • Course Completion Certificate: Recognizing the completion of the training and project components.
  • Collaborated Internship Completion Certificate: Validating the hands-on experience gained during the program.

 

Schedule of Classes

Course Curriculum

1 Subject

MACHINE LEARNING

12 Exercises30 Learning Materials

Module1

1 _ML_ Introduction to Python

Video
00:31:56

2_ML_Introducion to ML

Video
00:47:22

3_ML_part_2

Video
01:02:43

ML Quiz 1

Exercise

Module 2

4_ML_4th-Supervised ---4.1

Video
00:58:12

5_ML_4th-Supervised ---4.2

Video
00:53:21

6_ML_4th-Supervised ---4.3

Video
01:02:45

ML Quiz 2

Exercise

Module 3

7_ML_4th-Supervised ---4.4

Video
00:49:45

8_ML-4th-Supervised ---4.5

Video
00:56:39

9_ML-4th-Supervised ---4.6

Video
00:57:52

MLQuiz 3

Exercise

Module 4

10_ML-4th-Supervised ---4.7

Video
00:56:26

11_ML-4th-Supervised ---4.8

Video
00:49:45

12_ML-4th-Supervised ---4.9

Video
00:55:16

ML Quiz 4

Exercise

Module 5

13 ML-4th-Supervised ---4.10

Video
00:58:56

14 ML-4th-Supervised ---4.11

Video
00:51:44

15 ML-4th-Supervised ---4.12

Video
00:51:45

ML Quiz 5

Exercise

Module 6

16 ML 4th Supervised 4.13

Video
00:55:23

17 ML-UN-Supervised -- 1

Video
00:52:29

18 ML-UN-Supervised -- 2

Video
00:51:48

ML Quiz 6

Exercise

Module 7

19 ML-UN-Supervised -- 3

Video
00:51:00

20 ML-UN-Supervised -- 4

Video
00:51:21

21 ML agents

Video
00:54:39

ML Quiz 7

Exercise

Module 8

22 ML Neural Networks Intro

Video
00:53:22

23 ML Neural Network Arc

Video
00:52:57

24 ML MultiLayer NNA

Video
00:51:47

MACHINE LEARNING Quiz 8

Exercise

Module 9

25 ML Deep Learning

Video
00:52:29

26 ML Intro to NLP

Video
00:52:37

27 ML Text Pre-Processing P-1

Video
00:51:34

MACHINE LEARNING Quiz 9

Exercise

Module 10

28 ML Text Pre-Processing P-2

Video
00:54:02

29 ML Advanced Neural net

Video
01:01:29

30 ML NPL final

Video
00:54:19

MACHINE LEARNING Quiz 10

Exercise

PROJECTS

MACHINE LEARNING Minor Projects

Assignment

MACHINE LEARNING Major Project

Assignment

Course Instructor

tutor image

SmartED Innovations

32 Courses   •   15313 Students


Ratings & Reviews

4 /5

1 ratings

0 reviews

5

0%

4

100%

3

0%

2

0%

1

0%
PA
Priyanka Andhale

2 months ago