Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.
It is a 4 week program, with 3 weeks of training plus 1 week of projects.
What you will learn?
The idea behind the training is to develop an interest among upcoming engineers by giving them knowledge of various technologies with the basic building of concepts along with integration with realtime problem solutions. Apart from all these our trainers will also share the experiences of various projects which they had done in past and some of their current projects.
Syllabus of all Sections
( Batches will start from 5th July )
Session-01: Introduction to Machine Learning
Session-02: Function & Packages
Session-03: Working on Various Python Libraries
Session-04:Working on NumPy
Session-05: Data Analysis using Pandas
Session-06: Data visualization using Matplotlib
Session-07: Applying Algorithms on Dataset using Scikit-learn
Session-08: Machine Learning Algorithms
Session-10: Major Datasets Covered
Session-11: DISCUSSION ON FINAL PROJECT
For more information and complete syllabus, please download the pdf from above
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