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Internship on Machine Learning – IETE Certification

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33 students

About the Program

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence. Lot of opportunities is out there in field of ml and AI in India. People already using ml in field of image processing, pattern analysis, marketing, data analysis having pretty good future in India. The Machine Learning workshop provides the participants technical training on the concepts and Machine Learning algorithms to develop the code. Participants will also learn to use different Python libraries. Instruction cum aided with live projects which will allow students to grasp concepts of the complete machine learning development life-cycle.


Technologies and Tools Covered





Introduction to the Concept of Machine Learning, participants come to the machine learning process and know the types of machine Learnings with suitable examples.



1 Introduction to Machine Learning
2 Overview of Machine Learning
3 Real time uses of machine learning
4 Machine learning process
5 Supervised learning with example
6 Unsupervised learning with example


  1. Python Programming

Python a Powerful language and user friendly and its mostly used for most of the applications like Machine Learning, Deep Learning, Internet of Things, Block Chain. This session helps the participants to completely work on Python Programming and python libraries/ packages which are mainly used in the machine learning.




1 Basics of python programming
2 Pandas library
3 NumPy library
4 Matplotlib library
5 Seaborn library
6 Sklearn library


  • Machine Learning Algorithms

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so.




1 Decision Tree classifier, Support vector machine classifier
2 Random forest classifier, Logistic Regression classifier
3 Working with Unlabeled Data (Unsupervised Learning)
4 Usage Unstructured data Predicting Elbow Method and K -means Algorithm


Projects & Assignments

Practical 1: Data collection.

Practical 2: Data analysis.

Practical 3: Use of python libraries

Practical 4: Use of algorithms

Practical 5: how to predict the result


 Training Methodology

The Program is mix of Theory sessions, Quizzes, Hands on Sessions, Liver Interaction with Experts, Assignments and Practical Exercises. Maximum Impetus is given to Hands on Sessions so as to enable the participants with the maximum knowledge transfer and satisfaction. The ratio of the theory, practical sessions will be 30:70.


Program Advantage

●       Code with Explanations

Learn everything about Machine Learning using python programming, with a well-structured curriculum & detailed explanation of the code.

●       Assignments

Work on various assignments which will be graded by our Trainer.

●       Projects

Solve real world problems as part of projects and receive valuable feedback from our trainer.


Upon Successful Completion of the Program

Upon completion of the program, the participant will have an in-depth insight into the machine learning using python in anaconda platform. The participants will be able to program in python with Machine Learning Algorithms and develop the code basic / complex on his/her own, thus making the objective of the training program as desired.

Participants also will have access to our TECHNICAL FORUM, thus getting their doubts clarified even after the session is complete.  Certificates will be provided upon request.

Curriculum is empty


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Course Rating

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Course Preview
  • Price
  • Instructor pantech
  • Duration 25 hours
  • Start Date April 19, 2021
  • End Date May 8, 2021
  • Training Timing 5.30PM to 7.00PM
  • Certificate Provider IETE & Pantech
  • Enrolled 33 student
  • Access Lifetime

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